{"items":[{"title":"How to evaluate Speech Recognition models","author":"Ryan O'Connor","date":[2025,2,18,17,0,0,1,49,0],"link":"https://www.assemblyai.com/blog/how-to-evaluate-speech-recognition-models/","source":"Assembly AI","summary":"

When evaluating speech recognition models, it's crucial to use consistent methods to compare their performance accurately.
This includes using the same dataset and normalizer for each model, as these factors can significantly impact the results.
Additionally, it's essential to choose a metric that measures what matters in real-world applications, such as the accurate transcription of important words like names.
A commonly used metric called Word Error Rate (WER) has limitations, so a more suitable alternative called Jaro-Winkler is recommended for evaluating proper nouns.
By following these guidelines, you can ensure that your speech recognition model evaluation is fair and reliable.

","tags":["Speech Recognition","Model Evaluation","Consistency","Metrics","Jaro-Winkler"],"type":"blog"},{"title":"Dear Duolingo: tips for teaching kids a family language","author":"Emilie Zuniga, Ph.D.","date":[2025,2,18,13,0,15,1,49,0],"link":"https://blog.duolingo.com/tips-for-teaching-kids-your-mother-language/","source":"Duolingo","summary":"

To help your child learn a language spoken at home but not in their community, focus on creating an emotional bond between them and the language.
This can be achieved by consistently speaking to your child in that language, involving other people who speak the language, reading books together, singing lullabies, and sharing cultural experiences.
Even small moments, like singing a song or telling a story, can add up over time and help your child feel connected to the language.

","tags":["Language Acquisition","Bilingualism","Child Development","Parenting Tips"],"type":"blog"},{"title":"Realizing twelve-factors with the AWS Well-Architected Framework","author":"Michael Phorn","date":[2025,2,17,16,54,47,0,48,0],"link":"https://aws.amazon.com/blogs/architecture/realizing-twelve-factors-with-the-aws-well-architected-framework/","source":"AWS Architecture","summary":"

The twelve-factor app is a set of principles for building portable and resilient applications.
Amazon Web Services (AWS) provides the Well-Architected Framework, which offers architectural guidance to help developers deliver robust, scalable, and cloud-centered applications.
The framework consists of six pillars: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.
Each pillar has its own set of principles that align with the twelve-factor app, making it easier for developers to build well-architected applications on AWS.

","tags":["Twelve-Factor App","AWS Well-Architected Framework","Cloud Computing","Application Development"],"type":"blog"},{"title":"Access data in Amazon S3 Tables using PyIceberg through the AWS Glue Iceberg REST endpoint","author":"Srividya Parthasarathy","date":[2025,2,17,18,21,52,0,48,0],"link":"https://aws.amazon.com/blogs/storage/access-data-in-amazon-s3-tables-using-pyiceberg-through-the-aws-glue-iceberg-rest-endpoint/","source":"AWS Storage","summary":"

A data lake is like a big container where you store lots of data from different sources.
To make it easy to work with this data, we use something called Apache Iceberg as an open table format.
However, when many different tools and languages start using Iceberg, it gets complicated because each tool needs its own way to connect and manage the data.
AWS Glue Iceberg REST endpoint helps solve this problem by providing a single, standardized interface for working with Iceberg tables across all these different tools and languages.

","tags":["data lakes","Apache Iceberg","AWS Glue","Iceberg REST catalog","PyIceberg"],"type":"blog"},{"title":"Optimizing Crawlability: Making Your Site Accessible to Search Engine Crawlers","author":"Subham Kapiswe","date":[2025,2,17,6,27,12,0,48,0],"link":"https://tech.groww.in/optimizing-crawlability-making-your-site-accessible-to-search-engine-crawlers-e3088d739490?source=rss----bd82497d8ec5---4","source":"Groww","summary":"

To help search engines like Google index your website properly, make sure it's crawler-friendly.
This means optimizing your robots.txt file so it doesn't block essential resources like JavaScript and CSS, which are necessary for the page to load correctly.
You should also ensure that important content is available to crawlers right away, not just when JavaScript finishes loading.
By making these adjustments, you can improve how search engines understand your website, leading to faster indexing and better ranking.

","tags":["Search Engine Optimization","Crawlability","Robots.txt","JavaScript Rendering"],"type":"blog"},{"title":"Introducing Impressions at Netflix","author":"Netflix Technology Blog","date":[2025,2,15,1,13,20,5,46,0],"link":"https://netflixtechblog.com/introducing-impressions-at-netflix-e2b67c88c9fb?source=rss----2615bd06b42e---4","source":"Netflix","summary":"

Imagine you're browsing through your favorite streaming platform like Netflix.
Every time you hover over an image or poster, it's not just visual - it's actually data that helps personalize your experience.
To make this happen, Netflix uses a system to track and process these 'impressions' in real-time, creating a detailed history of each user's exposure.
This allows for tailored content recommendations, prevents over-exposure to the same content, and provides insights into how well different features are working.

","tags":["Data Processing","Streaming Platform","Personalization Engine","Impressions System"],"type":"blog"},{"title":"Speed Up DeepSeek R1 Distill 4-bit Performance and Inference Capability with NexaQuant on AMD Client","author":"AMD_AI","date":[2025,2,18,13,0,0,1,49,0],"link":"https://community.amd.com/t5/ai/speed-up-deepseek-r1-distill-4-bit-performance-and-inference/ba-p/746413","source":"AMD","summary":"

Nexa AI has announced two new versions of their DeepSeek R1 language models, called NexaQuants, which use a special technique to make them faster and more efficient while keeping their accuracy high.
This is done by reducing the amount of data needed to run the model, from 16 bits to just 4 bits, without losing too much performance.
As a result, users can now get the best of both worlds: fast and accurate language models that can be used in applications such as chatbots and virtual assistants.

","tags":["Language Models","Quantization Methods","Nexa AI","DeepSeek R1"],"type":"blog"},{"title":"Grab AI Gateway: Connecting Grabbers to Multiple GenAI Providers","author":"Grab","date":[2025,2,19,0,0,10,2,50,0],"link":"https://engineering.grab.com/grab-ai-gateway","source":"Grab","summary":"

Grab's AI Gateway is a tool that helps developers access and use artificial intelligence (AI) technologies such as language models, image generation, and audio analysis.
It provides a central platform for integrating various AI providers, simplifying the process of building AI-enabled applications.
The gateway handles tasks like authentication, authorization, and rate limiting, allowing users to focus on developing their applications without worrying about the technical details.
This makes it easier for developers to experiment with different AI technologies and build innovative solutions that can improve user experiences.

","tags":["Artificial Intelligence","Machine Learning","Natural Language Processing","Cloud Computing"],"type":"blog"},{"title":"How to Set Up a Kubernetes Network Policy and Secure Your Cluster","author":"Eti Ijeoma","date":[2025,2,18,14,45,59,1,49,0],"link":"https://www.freecodecamp.org/news/set-up-kubernetes-network-policy-and-secure-your-cluster/","source":"freeCodeCamp","summary":"

Kubernetes networking is like building a highway system where different components of an application can communicate with each other seamlessly.
However, this open communication can be a security risk if not managed properly.
Kubernetes Network Policies are like traffic cops that enforce rules to control what pods can talk to each other or the outside world.
By implementing these policies, you can ensure that sensitive data is protected and only authorized applications can access it.

","tags":["Kubernetes","Networking","Security","Network Policies"],"type":"blog"},{"title":"How to Use Classes in JavaScript – A Handbook for Beginners","author":"Spruce Emmanuel","date":[2025,2,18,12,29,27,1,49,0],"link":"https://www.freecodecamp.org/news/how-to-use-classes-in-javascript-handbook/","source":"freeCodeCamp","summary":"

In this article, we explored how classes work in JavaScript and why they're useful.
We learned that JavaScript doesn't have traditional classes like some other programming languages, but it uses objects and prototypes to mimic the behavior of classes.
We saw how constructor functions and prototypes can be used together to create reusable object structures, and how this approach is more efficient than using only functions.
We also discovered how to use ES6 classes as a cleaner way to write code that's still based on prototypes.
Finally, we built a simple to-do app using JavaScript classes and HTML to see how classes can help organize code and make it easier to maintain.
With these concepts in mind, you can now start building your own projects using classes and prototypes in JavaScript.

","tags":["JavaScript","classes","prototypes","object-oriented programming","constructor functions"],"type":"blog"},{"title":"Protecting user data through source code analysis at scale","author":"Facebook","date":[2025,2,18,20,30,49,1,49,0],"link":"https://engineering.fb.com/2025/02/18/security/protecting-user-data-through-source-code-analysis/","source":"Facebook","summary":"

The code is for a system that helps protect user data by limiting how many times a scraper can request information, making it harder for them to get too much data.
This system checks who is requesting the information and limits the number of results they can get, making it more difficult for scrapers to access sensitive information.

","tags":["Scraping Prevention","User Data Protection","Code Analysis"],"type":"blog"},{"title":"Introducing Three New Serverless Inference Providers: Hyperbolic, Nebius AI Studio, and Novita 🔥","author":"HuggingFace","date":[2025,2,18,0,0,0,1,49,0],"link":"https://huggingface.co/blog/inference-providers-nebius-novita-hyperbolic","source":"HuggingFace","summary":"

Hugging Face has added three new serverless Inference Providers to its Hub: Hyperbolic, Nebius AI Studio, and Novita.
These providers allow users to access a wider variety of models directly on the Hub's model pages, making it easier to use their preferred models.
Users can set their own API keys, order providers by preference, and choose between custom key or routed requests.
Billing is done directly by the provider for direct requests, while routed requests are billed at standard provider rates.

","tags":["Serverless Inference","Hugging Face Hub","Hyperbolic","Nebius AI Studio","Novita"],"type":"blog"},{"title":"What is Shadow AI? The Hidden Risks and Challenges in Modern Organizations","author":"Sonya Moisset","date":[2025,2,18,9,19,49,1,49,0],"link":"https://www.freecodecamp.org/news/shadow-ai-hidden-risks-and-challenges/","source":"freeCodeCamp","summary":"

Shadow AI refers to the unauthorized use of artificial intelligence (AI) tools and technologies within an organization.
This can happen when employees bypass IT approval to quickly solve problems or innovate, often using free or easily accessible AI platforms like ChatGPT or AutoML.
However, this unmanaged use of AI introduces significant risks, including data breaches, compliance violations, biased decisions, and operational inefficiencies.
To mitigate these risks, organizations need a proactive approach, including creating an AI governance framework, increasing awareness among employees about AI ethics and risks, implementing security controls, providing sanctioned alternatives to unauthorized tools, encouraging collaboration between teams, and continuously monitoring and improving their AI systems.

","tags":["Shadow AI","Artificial Intelligence","AI Governance","Data Privacy","Compliance","Ethics"],"type":"blog"},{"title":"AI Essentials for Tech Executives","author":"Hamel Husain and Greg Ceccarelli","date":[2025,2,18,11,11,4,1,49,0],"link":"https://www.oreilly.com/radar/ai-essentials-for-tech-executives/","source":"Oreilly","summary":"

When building and improving AI models, it's more important to focus on processes rather than just buying new tools.
This involves identifying failure rates, categorizing errors, and measuring the impact of changes.
Using plain language is also crucial in AI development to ensure that everyone can understand and contribute.
By focusing on actions, challenging technical jargon, and promoting open communication, teams can work together more effectively, spot problems, and drive continuous improvement.

","tags":["Artificial Intelligence","Machine Learning","Model Improvement","Plain Language","Communication"],"type":"blog"},{"title":"How to Use FakeLogger to Make Testing Easier In .Net","author":"Grant Riordan","date":[2025,2,17,22,24,54,0,48,0],"link":"https://www.freecodecamp.org/news/how-to-use-fakelogger-to-make-testing-easier-in-net/","source":"freeCodeCamp","summary":"

When writing unit tests for .NET applications, it's often necessary to verify if methods are logging exceptions or other key information correctly.
One common approach is to mock the ILogger interface, but this can be tricky due to its static and extension methods.
Fortunately, with .NET 8, you can use a feature called FakeLogger, which acts as an in-memory collection of logs and allows you to inspect them during unit tests.
This makes it easier to test logging functionality without relying on external dependencies or real logging behavior.

","tags":["unit testing",".NET","FakeLogger","logging","testing"],"type":"blog"},{"title":"What is Backend as a Service (BaaS)? A Beginner's Guide","author":"Ijeoma Igboagu","date":[2025,2,17,10,21,26,0,48,0],"link":"https://www.freecodecamp.org/news/backend-as-a-service-beginners-guide/","source":"freeCodeCamp","summary":"

Building an app's backend can be complex, but Backend as a Service (BaaS) provides a simpler solution.
BaaS platforms offer ready-made backend infrastructure and services, making it easier to focus on your app's features without worrying about managing servers, databases, or other backend tasks.
With BaaS, you can create user accounts, store and manage data, and integrate authentication and push notifications, all while scaling with your app's growth.

","tags":["Backend as a Service","BaaS","cloud platform","pre-built infrastructure","simplified development"],"type":"blog"},{"title":"She taught herself coding at age 30 for zero dollars [Podcast #160]","author":"Quincy Larson","date":[2025,2,15,1,29,7,5,46,0],"link":"https://www.freecodecamp.org/news/she-taught-herself-coding-at-age-30-for-zero-dollars-podcast-160/","source":"freeCodeCamp","summary":"

A self-taught software engineer and accessibility specialist named Julia Undeutsch was interviewed on the podcast.
She shared her journey from becoming a poker dealer to learning how to code at 30, using freeCodeCamp.
Julia is now working with a European company to make their software more accessible for people with disabilities and talks about her passion for creating easier-to-use technology.

","tags":["self-taught coding","accessibility specialist","freeCodeCamp","software engineering"],"type":"blog"},{"title":"A deep dive into our grid system and typography for the A4 format","author":"Lyubomir Popov (Lyubomir Popov)","date":[2025,2,17,12,1,52,0,48,0],"link":"https://canonical.com//blog/a-look-under-the-hood-of-our-grid-system-and-typography-for-the-a4-format","source":"Canonical","summary":"

When it comes to design, white space is not just empty areas - it actually helps make our content stand out by giving us room to breathe.
Using flush-left alignment makes text easier to read and adds structure to the page.
We also use tension by creating a sense of imbalance between spacing above and below headings, making the design more interesting and engaging.

","tags":["typography","white space","design principles","accessibility"],"type":"blog"},{"title":"How Ubuntu Pro + Support keeps your Ubuntu 20.04 LTS secure and stable","author":"Lidia Luna Puerta (Lidia Luna Puerta)","date":[2025,2,17,9,0,0,0,48,0],"link":"https://canonical.com//blog/20-04-support-how-ubuntu-pro-support-keeps-your-ubuntu-20-04-lts-secure-and-stable","source":"Canonical","summary":"

Canonical offers flexible support solutions, including weekday support and infrastructure-focused assistance, to help keep your systems running smoothly and securely.
Their experts provide knowledge transfer, guidance on best practices, and proactive optimization of performance to ensure long-term stability and efficiency.
By combining their security maintenance commitment with expert assistance, you can confidently run Ubuntu 20.04 LTS for years to come.

","tags":["Canonical","Ubuntu","Support","Security","Infrastructure Management"],"type":"blog"},{"title":"7 considerations when building your ML architecture","author":"Andreea Munteanu (Andreea Munteanu)","date":[2025,2,17,8,34,15,0,48,0],"link":"https://canonical.com//blog/7-considerations-ml-architecture","source":"Canonical","summary":"

When working with machine learning (ML) projects, it's essential to have secure and well-designed infrastructure in place.
This includes using ML tooling with network isolation and integrating with identity management providers.
To get started, you should prioritize your skills and collaborate with experts who can help you design a good architecture and avoid common mistakes.
Regular maintenance is also crucial, which is why managed services or support from experienced teams can be beneficial.
Finally, building an observable architecture that includes tools for alerting, dashboards, logs, and tracing is vital to ensure your ML infrastructure runs smoothly.

","tags":["Machine Learning","MLOps","Security","Infrastructure Design","Observability"],"type":"blog"},{"title":"Leveraging subpackages for scalable microservices","author":"Global Technology","date":[2025,2,18,17,3,41,1,49,0],"link":"https://medium.com/mcdonalds-technical-blog/leveraging-subpackages-for-scalable-microservices-3829a81de4cf?source=rss----3bac42476d27---4","source":"McDonald's Tech Blog","summary":"

McDonald's uses something called 'subpackages' to make their software work more efficiently.
Imagine you have many different tasks like taking orders, making food, and sending receipts - subpackages break these down into smaller pieces so they can be worked on separately and fixed quickly if needed.
This helps the company deliver new features faster and with less trouble, which is great for customers and employees alike.

","tags":["serverless architecture","subpackages","microservices","scalability","software delivery"],"type":"blog"},{"title":"Why you should centrally orchestrate software delivery","author":"Capital One Tech","date":[2025,2,19,18,8,35,2,50,0],"link":"https://medium.com/capital-one-tech/why-you-should-centrally-orchestrate-software-delivery-64d77a7b5156?source=rss-73d9ee9c08c8------2","source":"Capital One","summary":"

A company called Capital One used a technique called 'centrally orchestrated pipeline' to improve their software delivery process.
They created a central configuration file that could be easily customized for different projects, and automated many processes to make it faster and more reliable.
This allowed developers to focus on innovation, while the pipeline ensured quality, security, and compliance.
The result was better software delivered faster, with reduced risk and operational complexity.

","tags":["Centrally Orchestrated Pipeline","Software Delivery","Automation","Quality Assurance","Security"],"type":"blog"},{"title":"Enhance your workload resilience with new Amazon EMR instance fleet features","author":"Deepmala Agarwal","date":[2025,2,19,19,32,27,2,50,0],"link":"https://aws.amazon.com/blogs/big-data/enhance-your-workload-resilience-with-new-amazon-emr-instance-fleet-features/","source":"AWS Big Data","summary":"

Amazon EMR has improved its big data processing capabilities by introducing new features for instance fleets.
These features help manage compute resources more effectively, improving cluster resilience, scalability, and efficiency.
With instance fleets, organizations can now mix different instance types or purchasing options within a single group, allowing for better cost and performance optimization.
Additionally, Amazon EMR has enhanced subnet selection, which automatically routes traffic away from impacted zones during large-scale events, ensuring uninterrupted operation of mission-critical clusters.

","tags":["Big Data","Cloud Computing","Amazon EMR","Instance Fleets","Subnet Selection"],"type":"blog"},{"title":"Build verifiable explainability into financial services workflows with Automated Reasoning checks for Amazon Bedrock Guardrails","author":"Alfredo Castillo","date":[2025,2,19,17,30,22,2,50,0],"link":"https://aws.amazon.com/blogs/machine-learning/build-verifiable-explainability-into-financial-services-workflows-with-automated-reasoning-checks-for-amazon-bedrock-guardrails/","source":"AWS Machine Learning","summary":"

Amazon Bedrock Guardrails is introducing Automated Reasoning checks to enhance transparency and trust in generative AI applications used by financial service institutions (FSIs).
These checks provide deterministic verification of model outputs against documented rules, using mathematical logic to definitively verify compliance with policies.
This helps address the major barrier to generative AI adoption: model hallucination, where models generate unreliable or unfaithful responses.
Automated Reasoning checks can be applied in various FSI scenarios, such as insurance legal triaging, underwriting rules validation, and claims processing, by creating a logical model that evaluates policy conditions and determines compliance.
This allows FSIs to work more effectively with generative AI, reducing hallucination risk and creating reproducible, explainable safeguards.

","tags":["Automated Reasoning","Amazon Bedrock Guardrails","Generative AI","Financial Service Institutions","Deterministic Verification"],"type":"blog"},{"title":"Revenue Automation Series: Building Revenue Data Pipeline","author":"Yizheng Zhang, Software Engineer; Yirun Zhou, Software Engineer","date":[2025,2,19,0,0,0,2,50,0],"link":"https://engineeringblog.yelp.com/2025/02/revenue-automation-series-building-revenue-data-pipeline.html","source":"Yelp","summary":"

Yelp, a well-known review website, was facing challenges with its revenue recognition process due to increasing complexity and manual processes.
To address this issue, they invested in modernizing their billing system and building a data pipeline that integrates with a third-party revenue recognition service called REVREC.
The team had to handle ambiguous requirements by breaking down complex business terms into engineering-friendly language and extracting the purpose of each requirement.
They also performed a data gap analysis to align Yelp's data with the required template for integration, which led to long-term solutions such as developing a product catalog system for common product attributes.
Ultimately, they chose a Data Lake + Spark ETL option for data processing and used an internal package called spark-etl to streamline their ETL pipeline.

","tags":["Revenue Recognition","Data Pipeline","Spark ETL","Data Lake","Revenue Automation"],"type":"blog"},{"title":"Dynamically reconfigure your AWS Outposts capacity using Capacity Tasks","author":"aostan","date":[2025,2,19,19,37,16,2,50,0],"link":"https://aws.amazon.com/blogs/compute/dynamically-reconfigure-your-aws-outposts-capacity-using-capacity-tasks/","source":"AWS Compute","summary":"

If you have an AWS Outposts instance, you need to check the Outposts server user guide for your specific environment to understand its capacity.
To learn more about Outposts and manage its capacity yourself, contact your AWS account team.

","tags":["AWS","Outposts","Cloud Computing"],"type":"blog"},{"title":"Working@Reddit: Chris Slowe (2024)","author":"/u/SussexPondPudding","date":[2025,2,18,18,27,22,1,49,0],"link":"https://www.reddit.com/r/RedditEng/comments/1isjogs/workingreddit_chris_slowe_2024/","source":"Reddit","summary":"

The Reddit community is taking a break from their usual weekly updates and instead sharing an old favorite podcast episode about Chris Slowe, who is a chief technology officer at Reddit.

","tags":["Reddit","Chris Slowe","CTO","Podcast"],"type":"blog"},{"title":"A Distributed State of Mind: Event-Driven Multi-Agent Systems","author":"Andrew Sellers","date":[2025,2,19,17,0,2,2,50,0],"link":"https://www.confluent.io/blog/event-driven-multi-agent-systems/","source":"Confluent","summary":"

In AI, a new way of building systems is emerging called event-driven architecture.
Instead of asking permission for every action, agents work together by sending and receiving signals when something happens.
This makes systems more agile, scalable, and dynamic.
It also helps ensure that everything works smoothly and can recover from mistakes.

","tags":["event-driven architecture","multi-agent systems","AI development"],"type":"blog"},{"title":"How to use DeepSeek-R1 for enterprise-ready AI","author":"Nathaniel Daly, Luke Shulman","date":[2025,2,18,17,0,31,1,49,0],"link":"https://www.datarobot.com/blog/deepseek-r1-generative-ai-applications/","source":"DataRobot","summary":"

Once you've saved your DeepSeek-R1 model, it's ready to use and deploy.
You can test it, put it into production, or integrate it into applications and tools.
This flexibility helps you choose the right AI models for your needs and safely bring them into use, making it possible to create real-value applications for your users.

","tags":["DeepSeek-R1","AI Models","Enterprise-Ready AI","Model Deployment"],"type":"blog"},{"title":"Summer Fellows Grants","author":"Harj Taggar","date":[2025,2,17,16,58,0,0,48,0],"link":"https://www.ycombinator.com/blog/summer-fellows/","source":"YCombinator","summary":"

This summer, YC is offering grants to college students working on their own technical projects.
The grants include $20,000 cash and $90,000 in compute credits from major companies like Amazon and Google.
Students will also get to attend a special AI conference, work from the YC office for a few days, and present their projects at the end of the summer.
The goal is to encourage students to explore their interests in technology and build something new using AI, rather than doing an internship.

","tags":["YC","Summer Fellows Grants","College Students","Technical Projects","AI"],"type":"blog"},{"title":"Android phone: How to find my saved passwords on this device","author":"Kate Menzies","date":[2025,2,19,16,5,8,2,50,0],"link":"https://proton.me/blog/my-saved-passwords-on-this-device","source":"Proton","summary":"

When using an Android device, you can store passwords to avoid remembering them.
To find saved passwords, go to Settings and select 'Passwords and accounts' or use Google's Chrome browser.
However, built-in password manager 'Android Keystore' has limitations and is owned by Google, which prioritizes data collection over user privacy.
As an alternative, consider using Proton Pass, a secure end-to-end encrypted password manager that protects your passwords and email aliases while keeping your data private.

","tags":["Password Manager","Google Keystore","Android Security","Proton Pass","Data Privacy"],"type":"blog"},{"title":"Domino's Delivers Innovation: Harnessing the Power of GenAI to Enhance Customer Experience","author":"Databricks","date":[2025,2,19,17,0,0,2,50,0],"link":"https://www.databricks.com/blog/dominos-delivers-innovation-harnessing-power-genai-enhance-customer-experience","source":"Databricks","summary":"

Domino's is working on new ideas to make their customers happy with the best pizzas possible.

","tags":["Customer Experience","Innovation"],"type":"blog"},{"title":"How to verify email addresses and protect your inbox from scams","author":"Elena Constantinescu","date":[2025,2,18,15,18,47,1,49,0],"link":"https://proton.me/blog/email-verification","source":"Proton","summary":"

To verify an email's authenticity, check its format and contents for accuracy.
Research the company sending it to ensure their official email address matches the one you received.
Legitimate companies usually avoid using urgent or threatening language in their emails.
You can also send a test email to the address to see if it's valid, use email aliases like Proton Mail's hide-my-email feature, look up the domain online, and examine the email header for any red flags.
By taking these steps, you can protect yourself from scams and keep your information private.

","tags":["email verification","security","privacy","phishing"],"type":"blog"},{"title":"LangMem SDK for agent long-term memory","author":"LangChain","date":[2025,2,18,15,50,31,1,49,0],"link":"https://blog.langchain.dev/langmem-sdk-launch/","source":"Langchain","summary":"

LangMem is a library that helps AI agents learn and improve over time by storing information from conversations in different types of memory.
There are three main types: semantic memory, which stores facts and knowledge; procedural memory, which saves learned behaviors and skills; and episodic memory, which remembers specific past interactions.
This allows agents to become smarter and more personalized as they interact with users.

","tags":["Artificial Intelligence","Machine Learning","Memory Management","Long-term Memory"],"type":"blog"},{"title":"Structuring the GitLab Package Registry for enterprise scale","author":"Tim Rizzi","date":[2025,2,19,0,0,0,2,50,0],"link":"https://about.gitlab.com/blog/2025/02/19/structuring-the-gitlab-package-registry-for-enterprise-scale","source":"Gitlab","summary":"

GitLab's package registry model uses a root group to simplify access to company packages.
This approach allows teams to publish and share code while maintaining security and ease of use.
It combines project-based publishing with a single URL for accessing all packages, making it scalable and efficient for large organizations.

","tags":["DevOps","Package Management","GitLab"],"type":"blog"},{"title":"Growing Mozilla — and evolving our leadership","author":"Mark Surman","date":[2025,2,19,19,2,0,2,50,0],"link":"https://blog.mozilla.org/en/mozilla/mozilla-leadership-growth-planning-updates/","source":"Mozilla","summary":"

Mozilla is going through changes, including updates to their leadership.
They're facing challenges with growing financially and making a bigger impact, but they're focusing on what's most important - Firefox.

","tags":["Mozilla","Leadership Change","Firefox"],"type":"blog"},{"title":"Spring detox with Firefox for iOS","author":"Mozilla","date":[2025,2,18,17,54,44,1,49,0],"link":"https://blog.mozilla.org/en/products/firefox-ios-spring-detox/","source":"Mozilla","summary":"

You don't just need to declutter your home, but also your iPhone or iPad by keeping your browsing private with Firefox for iOS.
It blocks hidden trackers and keeps your history safe from people who want to know what you're doing online.

","tags":["Privacy","Firefox","iOS","Tracking Protection"],"type":"blog"},{"title":"What is the best hardware concurrency for running inference on CPU?","author":"Tarek Ziadé and Paul Adenot","date":[2025,2,18,16,34,35,1,49,0],"link":"https://blog.mozilla.org/en/mozilla/ai/ai-tech/what-is-the-best-hardware-concurrency-for-running-inference-on-cpu/","source":"Mozilla","summary":"

A SharedArrayBuffer allows multiple threads to run at the same time and share data, distributing the workload across several CPU cores, which can help improve performance when running tasks like inference on a computer with multiple processing units.

","tags":["concurrency","multithreading","SharedArrayBuffer"],"type":"blog"},{"title":"Massive Foundation Model for Biomolecular Sciences Now Available via NVIDIA BioNeMo","author":"Anthony Costa","date":[2025,2,19,16,0,46,2,50,0],"link":"https://blogs.nvidia.com/blog/evo-2-biomolecular-ai/","source":"Nvidia","summary":"

Scientists have created a powerful new AI model called Evo 2, which helps them understand how all living things are made up at a genetic level.
This means it can help doctors and researchers find new ways to treat diseases, make crops more resilient to the changing climate, and even design new materials like biofuels.
Evo 2 is like a super powerful tool that lets scientists look deeper into the building blocks of life and figure out how things work.

","tags":["Genomics","Artificial Intelligence","Biomolecular Research","Machine Learning"],"type":"blog"},{"title":"Starlight 0.32","author":"Astro","date":[2025,2,17,0,0,0,0,48,0],"link":"https://astro.build/blog/starlight-032/","source":"Astro","summary":"

The latest version of Starlight, v0.32, has been released with new features and improvements to make it more flexible and extendable.
This includes a new route data paradigm, updated plugin hooks, multisite search support, and bug fixes.
These changes will help users customize their site's appearance, implement custom logic, and support searching across multiple sites.

","tags":["Starlight","Web Development","Front-end Frameworks"],"type":"blog"},{"title":"Inside Agoda’s Bug Bounty Program: How We Stay Ahead of Cyber Threats","author":"Agoda Engineering","date":[2025,2,19,6,19,12,2,50,0],"link":"https://medium.com/agoda-engineering/how-agoda-works-with-hackers-to-strengthen-its-security-2e4129299b8b?source=rss----9bca683764b5---4","source":"Agoda","summary":"

Agoda's bug bounty program allows them to work with ethical hackers to find and fix security vulnerabilities in their system.
They've learned a lot from working with these hackers and plan to open up their program to more people, making it easier for anyone to help keep their platform safe.

","tags":["bug bounty","cybersecurity","vulnerability management"],"type":"blog"},{"title":"Making modernization a path to growth","author":"Omar Bashir, Muralikrishnan Puthanveedu, Manu Iyer","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.thoughtworks.com/insights/articles/making-modernization-a-path-to-growth-","source":"Thoughtworks","summary":"

Modernization is being presented as a way for companies or entities to achieve growth.

","tags":["modernization","growth"],"type":"blog"},{"title":"Garbage Collection in Java - The progress since JDK 8","author":"[\"StefanJohansson\"]","date":[2025,2,15,0,0,0,5,46,0],"link":"https://inside.java/2025/02/15/devoxxbelgium-gc-progress/","source":"Java","summary":"

Java's garbage collection feature helps automatically manage memory, freeing developers from worrying about memory issues so they can focus on other problems.

","tags":["garbage collection","java platform","memory management"],"type":"blog"},{"title":"Replit AI Agent - AI Web App Builder","author":"Refine.dev","date":[2025,2,17,0,0,0,0,48,0],"link":"https://refine.dev/blog/replit-ai-agent","source":"Refine.dev","summary":"

When using AI to help with coding, it's essential to understand its limitations.
While AI can quickly create code and speed up development, it may not be able to handle complex or high-traffic scenarios, and might require human refinement for efficiency and maintainability.
Additionally, AI-generated code can be difficult to customize or debug, and long-term maintenance may be a challenge if the AI tool's ecosystem changes.
To get the most out of AI-assisted development, it's crucial to approach it with realistic expectations and have human oversight for performance, scalability, and customization.

","tags":["AI-Powered Code Generation","Artificial Intelligence in Development","Software Development Limitations"],"type":"blog"},{"title":"How much faster can coding assistants really make software delivery?","author":"Sichu Zhang","date":[2025,2,18,0,0,0,1,49,0],"link":"https://www.thoughtworks.com/insights/blog/generative-ai/how-faster-coding-assistants-software-delivery","source":"Thoughtworks","summary":"

Coding assistants, also known as AI-powered development tools, have the potential to significantly speed up the process of creating and delivering software.
They can automate routine tasks, provide instant feedback, and even help with writing code itself.
This means developers can focus on higher-level thinking and creativity, leading to faster time-to-market and improved quality.

","tags":["AI","Software Development","Coding Assistants"],"type":"blog"},{"title":"Managed Services at Thoughtworks: How to be best prepared for your interview process","author":"Gabriela Alves","date":[2025,2,17,0,0,0,0,48,0],"link":"https://www.thoughtworks.com/insights/blog/careers-at-thoughtworks/managed-services-at-thoughtworks--how-to-be-best-prepared-for-yo","source":"Thoughtworks","summary":"

To prepare for an interview at Thoughtworks, it's essential to research and understand their managed services, which likely involves technology consulting and support.
However, there is no specific information about what they are looking for in an interview or how to best prepare.
Typically, being well-prepared with knowledge of the company and the role you're applying for, along with practice answering common interview questions, can increase your chances of success.

","tags":["Interview Preparation","Thoughtworks Managed Services","Career Advice"],"type":"blog"},{"title":"Microsoft unveils first quantum computing chip for future data centres - Business Standard","date":[2025,2,19,18,55,57,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.business-standard.com/technology/tech-news/microsoft-unveils-first-quantum-computing-chip-for-future-data-centres-125022000005_1.html&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw0Xu-67_11zSAsGQ4Kxk5AS","source":"www.business-standard.com","summary":"Technology · Tech News · Tech Reviews · Gadgets · Subscribe. ✕. ODI 2025. PAK vs NZ LIVE SCORE, Champions Trophy 2025: Fakhar-Babar lead Pakistan's ...","tags":["Tech News"],"type":"news"},{"title":"Why Today's Thought Leaders Are Trapped in Echo Chambers | Entrepreneur","date":[2025,2,19,19,7,4,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.entrepreneur.com/leadership/why-todays-thought-leaders-are-trapped-in-echo-chambers/486256&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw2lqDk4ECZqMfpFd0RGhhJx","source":"www.entrepreneur.com","summary":"... algorithm operates. As business leaders engage with content and interact with like-minded professionals, the algorithm narrows their exposure ...","tags":["Algorithms"],"type":"news"},{"title":"Intergovernmental consultations on the Independent International Scientific Panel on ...","date":[2025,2,19,18,20,48,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://usun.usmission.gov/intergovernmental-consultations-on-the-independent-international-scientific-panel-on-artificial-intelligence-ai-and-the-global-dialogue-on-ai-govern/&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw2HcSpBiApmuFcr9IuN1HK4","source":"usun.usmission.gov","summary":"... Artificial Intelligence (AI) and the Global Dialogue on AI Govern ... Intergovernmental consultations on the Independent International Scientific Panel ...","tags":["AI"],"type":"news"},{"title":"Assembly to Host Global Tattoo Algorithm Competitions in 2025 in Collaboration with ...","date":[2025,2,19,19,6,57,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://pressat.co.uk/releases/assembly-to-host-global-tattoo-algorithm-competitions-in-2025-in-collaboration-with-ethereum-polkadot-co-founder-36596e3dc2255ba85495fb16af3e54fe/&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw3BafJx9BlLPQKyTugfuecx","source":"pressat.co.uk","summary":"A Groundbreaking Algorithmic Tattoo Design Contest Merging Web3 Individuality and Art The Entropretty Competition, a global contest for developers ...","tags":["Algorithms"],"type":"news"},{"title":"'Pocket Science' podcast: What makes a heart stop? | Virginia Tech News","date":[2025,2,19,17,4,8,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://news.vt.edu/articles/2025/02/research_fralinbiomed_pocketscienceep2_0220.html&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw338GnetNuGi6iP2WISUJkG","source":"news.vt.edu","summary":"A single heartbeat requires a perfectly orchestrated symphony of events. Cardiovascular scientist Steve Poelzing explains how the heart beats, ...","tags":["Tech News"],"type":"news"},{"title":"'I can't do it anymore': How TikTok's algorithm allegedly drove a 16-year-old to suicide","date":[2025,2,19,18,54,6,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.indiatoday.in/world/us-news/story/i-cant-do-it-anymore-how-tiktoks-algorithm-allegedly-drove-a-16-year-old-to-suicide-glbs-2682568-2025-02-20&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw1zEizWmVdE_wOrhgmUSipQ","source":"www.indiatoday.in","summary":"According to the lawsuit, TikTok's algorithm used his location data to push videos centered around suicide by railway tracks. advertisement. The court ...","tags":["Algorithms"],"type":"news"},{"title":"CS professor Lingming Zhang selected as ACM Distinguished Member","date":[2025,2,19,19,27,46,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://siebelschool.illinois.edu/news/73719&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw1kR7f53shVkX2pIBFor5eb","source":"siebelschool.illinois.edu","summary":"This story was published February 19, 2025. Siebel School of Computing and Data Science.","tags":["Data Science"],"type":"news"},{"title":"This hospital network in Ont. is tapping into artificial intelligence - YouTube","date":[2025,2,19,18,1,34,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.youtube.com/watch%3Fv%3DM2l-4JmR2Qk&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw3IpEQLqpCatjDB6Pk_cjjb","source":"www.youtube.com","summary":"Doctors with Hamilton Health Sciences are using the technology to protect patients from life-threatening complications after surgery.","tags":["AI"],"type":"news"},{"title":"Artificial Intelligence Tutorial | AI Course |Simplilearn - YouTube","date":[2025,2,19,17,51,3,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.youtube.com/watch%3Fv%3DipJolMQ-n90&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw18ByaWqTEL7wUkLRShXD33","source":"www.youtube.com","summary":"Artificial Intelligence Engineer (IBM) ... Artificial Intelligence Full Course 2025 | Artificial Intelligence Tutorial | AI Course |Simplilearn.","tags":["AI"],"type":"news"},{"title":"A novel 3D bilateral filtering algorithm with noise level estimation assisted by multi-temporal SAR","date":[2025,2,19,18,47,34,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://journals.plos.org/plosone/article%3Fid%3D10.1371/journal.pone.0315395&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw3qsquEcIc-IxkSBLwham6C","source":"journals.plos.org","summary":"This algorithm begins by evaluating the noise content of pixels to be denoised based on their temporal and spatial stability, classifying them into ...","tags":["Algorithms"],"type":"news"},{"title":"UW and Wyoming SBDC Network to Host Artificial Intelligence Automation Webinar Feb. 26","date":[2025,2,19,17,41,32,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.uwyo.edu/news/2025/02/uw-and-wyoming-sbdc-network-to-host-artificial-intelligence-automation-webinar-feb-26.html&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw1-a0PHSmwbFXghPWCImrEm","source":"www.uwyo.edu","summary":"Small-business owners will have an opportunity to learn how to automate their companies through artificial intelligence (AI) Wednesday, Feb. 26.","tags":["AI"],"type":"news"},{"title":"Costco expands travel benefit by rolling out artificial intelligence to members - Fox News","date":[2025,2,19,16,28,38,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.foxnews.com/travel/costco-expands-travel-benefit-rolling-out-artificial-intelligence-members&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw04B9sEhCh5qqACfP4EtvFD","source":"www.foxnews.com","summary":"Costco Travel and Travelport will be offering convenient trip booking through artificial intelligence for Costco members.","tags":["AI"],"type":"news"},{"title":"Ex-OpenAI tech chief launches AI startup, hires staff from ChatGPT maker","date":[2025,2,19,16,56,55,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.business-standard.com/technology/tech-news/ex-openai-tech-chief-launches-ai-startup-hires-staff-from-chatgpt-maker-125021900245_1.html&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw3BD09zYL4khDhmeyZ7K7R0","source":"www.business-standard.com","summary":"Technology · Tech News · Tech Reviews · Gadgets · Subscribe · Home / Technology / Tech News / Ex-OpenAI tech chief launches AI startup, hires staff ...","tags":["Tech News","AI"],"type":"news"},{"title":"CaixaBank outlines artificial intelligence intentions in €5bn plan - Computer Weekly","date":[2025,2,19,16,18,54,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.computerweekly.com/news/366619347/CaixaBank-outlines-artificial-intelligence-intentions-in-5bn-plan&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw3THbcZ2_UGzQKbJcvBXkbP","source":"www.computerweekly.com","summary":"CaixaBank will invest in programmes to make more use of artificial intelligence (AI), as part of a multibillion-euro business plan announced last ...","tags":["AI"],"type":"news"},{"title":"Artificial intelligence for modelling infectious disease epidemics - Nature","date":[2025,2,19,16,15,25,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.nature.com/articles/s41586-024-08564-w&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw1iuJdrYbkI-E5MmLbIshfn","source":"www.nature.com","summary":"Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and ...","tags":["AI"],"type":"news"},{"title":"A national resource for managing qualitative data across the social sciences - Phys.org","date":[2025,2,19,18,39,2,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://phys.org/news/2025-02-national-resource-qualitative-social-sciences.html&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw0xr4pY0jC3AP1TaUd163TX","source":"phys.org","summary":"... science research and constantly engage with other qualitative data researchers. We're interested in what the next generation of qualitative data ...","tags":["Data Science"],"type":"news"},{"title":"Better Artificial Intelligence Stock: Rigetti Computing vs. Amazon | Nasdaq","date":[2025,2,19,15,4,20,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.nasdaq.com/articles/better-artificial-intelligence-stock-rigetti-computing-vs-amazon&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw1o5P8pV8k8fXMykgFtRXoZ","source":"www.nasdaq.com","summary":"For the past year or so investors have been looking for one thing: the next best artificial intelligence (AI) growth story. And for good reason.","tags":["AI"],"type":"news"},{"title":"Artificial Intelligence Alone Not the 'Silver Bullet' as Compliance Chiefs Wrestle with Rising ...","date":[2025,2,19,14,25,46,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://ffnews.com/newsarticle/tradetech/artificial-intelligence-alone-not-the-silver-bullet-as-compliance-chiefs-wrestle-with-rising-costs-and-complexity/&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw2JZs0ItO5ykLtLYO2FCzmC","source":"ffnews.com","summary":"Growing levels of financial crime and regulatory scrutiny are forcing organisations to step up spending on AI compliance and KYC EDD.","tags":["AI"],"type":"news"},{"title":"Rep. Michael Howard - Legislators Introduce Bill to ban Rent-Fixing Algorithms","date":[2025,2,19,18,28,45,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.house.mn.gov/members/Profile/News/15518/40117&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw2vRHqA8E9antmPsGjN0BbD","source":"www.house.mn.gov","summary":"St. Paul, MN - Today, legislators in the Minnesota House and Senate introduced House File 1142, legislation to ban the use of rent-fixing algorithms, ...","tags":["Algorithms"],"type":"news"},{"title":"Artificial Intelligence in the Judiciary – University of Freiburg","date":[2025,2,19,14,2,24,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://uni-freiburg.de/en/artificial-intelligence-in-the-judiciary/&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw1yU7TfXW0LMpec1NI4q-Ie","source":"uni-freiburg.de","summary":"Artificial Intelligence in the Judiciary. Freiburg, 19/02/2025. A new Daimler and Benz Foundation research network is studying the prospects of modern ...","tags":["AI"],"type":"news"},{"title":"CISA warns of active Palo Alto Networks and SonicWall exploits - Telecoms Tech News","date":[2025,2,19,16,31,20,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.telecomstechnews.com/news/cisa-warns-active-palo-alto-networks-and-sonicwall-exploits/&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw1ANfXaHWBGzIGU-y3xNfsr","source":"www.telecomstechnews.com","summary":"The US CISA has added two critical flaws affecting Palo Alto Networks and SonicWall to its Known Exploited Vulnerabilities (KEV) Catalog.","tags":["Tech News"],"type":"news"},{"title":"New AI approach set to revolutionize ECG data interpretation in heart disease diagnosis","date":[2025,2,19,18,33,37,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.news-medical.net/news/20250219/New-AI-approach-set-to-revolutionize-ECG-data-interpretation-in-heart-disease-diagnosis.aspx&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw2lxLKwJu-ePOaodRYxgQNz","source":"www.news-medical.net","summary":"The groundbreaking research was published in Health Data Science, offering a transformative approach that promises to revolutionize heart-related ...","tags":["Data Science"],"type":"news"},{"title":"MA's first AI associate degree to be offered at Bristol Community College. What to know.","date":[2025,2,19,14,2,13,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.heraldnews.com/story/news/2025/02/19/bristol-community-college-launching-new-artificial-intelligence-program-fall-river-taunton-ma/79177763007/&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw1VNS7OjfFdJ2jklsRr5mhi","source":"www.heraldnews.com","summary":"\"As artificial intelligence continues to transform industries, nearly every job will soon incorporate AI in some form. All industries will see an ...","tags":["AI"],"type":"news"},{"title":"WiMi Develops Holographic Quantum Algorithm Technology for Efficient Simulation of ...","date":[2025,2,19,17,10,45,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.fox44news.com/business/press-releases/cision/20250219CN22743/wimi-develops-holographic-quantum-algorithm-technology-for-efficient-simulation-of-related-spin-systems&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw2Yh_01Lv5gbdq8LBQ_fEP-","source":"www.fox44news.com","summary":"... algorithm for simulating highly correlated spin systems. This technology enables efficient ground state preparation and dynamic evolution, while ...","tags":["Algorithms"],"type":"news"},{"title":"It's Giving Day! Give Now! - Virginia Tech News","date":[2025,2,19,15,58,58,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://news.vt.edu/art/2025/february/doodle-feb-19-2024.html&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw22r1jtRpwNG2AbrSED4IIn","source":"news.vt.edu","summary":"Catch up on past Doodles from the Virginia Tech Daily Email. Doodle archive · HokieBird holding a Giving Day promo banner. Share this story. Share on ...","tags":["Tech News"],"type":"news"},{"title":"WiMi's New Quantum Algorithm Slashes Computing Resources for Spin Systems","date":[2025,2,19,16,55,41,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.stocktitan.net/news/WIMI/wi-mi-develops-holographic-quantum-algorithm-technology-for-5uyuyte1x483.html&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw3LirYHwdWMQLgIrtRxIsTH","source":"www.stocktitan.net","summary":"WiMi Develops Holographic Quantum Algorithm Technology for Efficient Simulation of Related Spin Systems ... WiMi Hologram Cloud (NASDAQ: WIMI) has ...","tags":["Algorithms"],"type":"news"},{"title":"DeepSeek Heralds New Era Of Artificial Good-Enough Intelligence - Forbes","date":[2025,2,19,14,1,28,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.forbes.com/sites/lbsbusinessstrategyreview/2025/02/19/deepseek-heralds-new-era-of-artificial-good-enough-intelligence/&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw1mkxseXq6YU2OpQXBz6X-0","source":"www.forbes.com","summary":"In December 2024, the then obscure Chinese company DeepSeek shook the artificial intelligence (AI) community by releasing its DeepSeek-v3 model, ...","tags":["AI"],"type":"news"},{"title":"How Digital Twins and AI are Taming Live Data Analysis - RTInsights","date":[2025,2,19,18,6,35,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.rtinsights.com/how-digital-twins-and-ai-are-taming-live-data-analysis/&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw2cDKlHweypsbW4wEvjjeZI","source":"www.rtinsights.com","summary":"Advancing Analytics Through AI Integration. The integration of artificial intelligence with digital twins marks a significant advancement in real-time ...","tags":["Data Science","AI"],"type":"news"},{"title":"Around the Geospatial, 3D, and AEC Industries: Forestry, Historical Preservation, Artificial ...","date":[2025,2,19,13,32,43,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.geoweeknews.com/blogs/geospatial-3d-aec-technology-news-forestry-lidar-historical-preservation-reality-capture-ai&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw0zcS0WH-wWQVgZAm_XPImh","source":"www.geoweeknews.com","summary":"As artificial intelligence and machine learning take over the business world as a whole, the geospatial industry is at the forefront of using ...","tags":["AI"],"type":"news"},{"title":"\"AI has the morality of a hammer.\" UMA Lecturer Rocko Graziano challenges the assumption ...","date":[2025,2,19,18,4,56,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.uma.edu/news/ai-has-the-morality-of-a-hammer/&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw0lihlB34ZBpN6nPUDGHm6R","source":"www.uma.edu","summary":"AI has the morality of a hammer,\" an opinion piece by UMA Lecturer of Data Science and Machine Learning Rocko Graziano, was recently published in ...","tags":["Data Science","AI"],"type":"news"},{"title":"Supporting interdisciplinary learning creates a bright future | Virginia Tech News","date":[2025,2,19,15,16,1,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://news.vt.edu/articles/2025/02/Supportinginterdisciplinarylearningcreatesabrightfuture.html&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw2OuozNAwnohn-aUyUJaj-i","source":"news.vt.edu","summary":"Interdisciplinary courses equip students with versatile skills for navigating an increasingly interconnected world. Open to any undergraduate ...","tags":["Tech News"],"type":"news"},{"title":"Mines professors using math to optimize energy flow | Colorado School of Mines | Newsroom","date":[2025,2,19,16,36,38,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.minesnewsroom.com/news/mines-professors-using-math-optimize-energy-flow&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw38EzU7zDi2lIEqcdosYrHL","source":"www.minesnewsroom.com","summary":"While there are powerful optimization algorithms already set up to tackle processing flow paths, they aren't always able to take unexpected real-world ...","tags":["Algorithms"],"type":"news"},{"title":"Lightweight visual localization algorithm for UAVs | Scientific Reports - Nature","date":[2025,2,19,15,51,33,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.nature.com/articles/s41598-025-88089-y&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw2UgXc4ekegE8v3uohyphbC","source":"www.nature.com","summary":"The Lightv8nPnP lightweight visual positioning algorithm model has been introduced to make deep learning-based drone visual positioning algorithms ...","tags":["Algorithms"],"type":"news"},{"title":"Promising young researchers receive prestigious NSF CAREER awards","date":[2025,2,19,16,48,39,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://news.northwestern.edu/stories/2025/02/promising-young-researchers-receive-prestigious-nsf-career-awards/&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw22SFrZ4SzZHq3cEhahDtBs","source":"news.northwestern.edu","summary":"“Across scientific disciplines, there is a pressing need to develop foundational tools for processing high-dimensional network data and making ...","tags":["Data Science"],"type":"news"},{"title":"Black History Month: Celebrating the Past, Empowering the Future | New York Tech","date":[2025,2,19,15,10,59,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.nyit.edu/news/articles/black-history-month-celebrating-the-past-empowering-the-future/&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw1m9nFDu76urb9s8vjTyK3X","source":"www.nyit.edu","summary":"Black History Month: Celebrating the Past, Empowering the Future. News Staff| February 19, 2025. Home > New York Tech News > Articles > Black History ...","tags":["Tech News"],"type":"news"},{"title":"Brahma's $1.43 bn artificial intelligence play: Metaphysic acquisition - Business Standard","date":[2025,2,19,13,14,39,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.business-standard.com/companies/news/brahma-s-1-43-bn-artificial-intelligence-play-metaphysic-acquisition-125021801212_1.html&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw2mm1ybTgbeuPavPsepFkSC","source":"www.business-standard.com","summary":"... artificial intelligence (GenAI) technologies for creating photorealistic content at scale. The post-transaction valuation of the combined entity ...","tags":["AI"],"type":"news"},{"title":"Clinical AI Monitoring Systems: High Variability, Low Transparency - Dermatology Advisor","date":[2025,2,19,15,50,52,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.dermatologyadvisor.com/news/clinical-ai-monitoring-systems-variability-transparency/&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw3KmSKKHxMyzkpYMC1AcDGW","source":"www.dermatologyadvisor.com","summary":"Properly executed, monitoring algorithms can allow for safe, long-term algorithm deployment. At their worst, monitoring systems may provide only a ...","tags":["DevOps","Algorithms"],"type":"news"},{"title":"The AI Revolution: How to Effectively Utilize Artificial Intelligence - The Villanovan","date":[2025,2,19,13,8,35,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://villanovan.com/28622/opinion/the-ai-revolution-how-to-effectively-utilize-artificial-intelligence/&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw2ygueBsVWL9MyklZ2VxzoZ","source":"villanovan.com","summary":"That is when you remember AI and begin prompting it to fit your best interests. AI (Artificial Intelligence) is a great tool if used correctly, but ...","tags":["AI"],"type":"news"},{"title":"Boosting application performance with in-memory distributed caching - Developer Tech News","date":[2025,2,19,14,39,34,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.developer-tech.com/news/boosting-application-performance-with-in-memory-distributed-caching/&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw0AzXyGLCzjiKTShNyN7RGs","source":"www.developer-tech.com","summary":"The evolution of cloud technologies has transformed how developers create and deploy online applications. As organisations shift from traditional data ...","tags":["Tech News"],"type":"news"},{"title":"How does Recorded Future find and track cyber threats? Its data science chief explains.","date":[2025,2,19,16,41,31,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.mastercard.com/news/perspectives/2025/how-does-recorded-future-find-and-track-potential-cyber-threats/&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw1mZ6KVgK3gvw4k8G8_wsBw","source":"www.mastercard.com","summary":"Matt Kodama, who heads data science at the cybersecurity company Recorded Future, likens his job to working in the backend of a kitchen.","tags":["Security","Data Science"],"type":"news"},{"title":"FDA Clears IMVARIA's Interstitial Lung Disease Screening Algorithm","date":[2025,2,19,15,1,46,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.mpo-mag.com/breaking-news/fda-clears-imvarias-interstitial-lung-disease-screening-algorithm/&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw13izHxn930lBYQQNuDFzh1","source":"www.mpo-mag.com","summary":"FDA Clears IMVARIA's Interstitial Lung Disease Screening Algorithm. ScreenDx enhances referral pathways by automatically assessing medical data for ...","tags":["Algorithms"],"type":"news"},{"title":"New USC Graduate Program to Train Tomorrow's Energy Technology Leaders","date":[2025,2,19,16,30,33,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://viterbischool.usc.edu/news/2025/02/new-usc-graduate-program-to-train-tomorrows-energy-technology-leaders/&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw2FZpXuDXv1vGAy1Iamj2GY","source":"viterbischool.usc.edu","summary":"Energy production, storage and carbon management,; Data science, AI and machine learning for energy transition,; Energy process design. Chair, Mork ...","tags":["Data Science","AI"],"type":"news"},{"title":"Artificial intelligence and relationship lending - Bank for International Settlements","date":[2025,2,19,13,3,38,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.bis.org/publ/work1244.htm&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw2UgfaXW73y0zO3RyyZ19zw","source":"www.bis.org","summary":"We study the interaction between banks' adoption of artificial intelligence (AI) in credit scoring and relationship lending.","tags":["AI"],"type":"news"},{"title":"Tech News | American Press Technology News","date":[2025,2,19,14,14,58,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.businesswire.com/news/aptechnologynews/20250219846948/en/Diversified%25E2%2580%2599s-Groundbreaking-Research-Reveals-Stark-Disconnect-Between-Companies%25E2%2580%2599-Technology-Investments-and-What-Businesses-Workers-Truly-Need&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw1V_eNRKr4ao1e-wyQMg1LE","source":"www.businesswire.com","summary":"New research from Diversified, a leading global technology solutions provider, reveals that companies are underinvesting in workforce technologies ...","tags":["Tech News"],"type":"news"},{"title":"Veasey Warns About The 'Risk Involved With' Artificial Intelligence - YouTube","date":[2025,2,19,13,1,49,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.youtube.com/watch%3Fv%3DoQFUiDgpGes&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw1kNKq3lg8f8hj_8db_gN5J","source":"www.youtube.com","summary":"During Wednesday's House Energy and Commerce Committee hearing, Rep. Marc Veasey (D-TX) questioned experts about energy innovation with AI ...","tags":["AI"],"type":"news"},{"title":"Influence of artificial intelligence on higher education reform and talent cultivation in the ...","date":[2025,2,19,12,52,9,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.nature.com/articles/s41598-025-89392-4&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw2HkVX0a6hIsW9-AVRML0OZ","source":"www.nature.com","summary":"Cutting-edge technologies such as cloud computing, big data, Internet of Things (IoT) and Artificial Intelligence (AI) drive the transformation of ...","tags":["AI"],"type":"news"},{"title":"Apple wipes App Store apps lacking EU trader status - Developer Tech News","date":[2025,2,19,11,33,24,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.developer-tech.com/news/apple-wipes-app-store-apps-lacking-eu-trader-status/&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw1hPUsQRMcULXdcPYYijNjx","source":"www.developer-tech.com","summary":"Apple has begun removing apps in the App Store from developers that have failed to submit their 'trader status' mandated by EU regulations.","tags":["Tech News"],"type":"news"},{"title":"Parallel circuit implementation of variational quantum algorithms - Nature","date":[2025,2,19,14,28,26,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.nature.com/articles/s41534-025-00982-6&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw32VKToSlYdOz_Ge-rgAlSL","source":"www.nature.com","summary":"One of the algorithms that uses the Ising Hamiltonian to construct the parameterized quantum circuit is the Quantum Approximate Optimization Algorithm ...","tags":["Algorithms"],"type":"news"},{"title":"A New Artificial Intelligence (AI) Revolution Is Coming. 3 Stocks to Buy Before It Changes the ...","date":[2025,2,19,11,32,12,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.fool.com/investing/2025/02/19/a-new-artificial-intelligence-ai-revolution-is-com/&ct=ga&cd=CAIyGjkwZGM2ODY2NjBkYzM4NTE6Y29tOmVuOlVT&usg=AOvVaw1w1IjKBaRkbGnXOzO4Jgzj","source":"www.fool.com","summary":"The next step forward for AI will come from these companies. Artificial intelligence has transformed entire industries in just a few short years. From ...","tags":["AI"],"type":"news"},{"title":"In the News: Manjeet Rege on the Computer Programming Language Used by the Social ...","date":[2025,2,19,16,24,37,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://news.stthomas.edu/in-the-news-manjeet-rege-on-the-computer-programming-language-used-by-the-social-security-administration/&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw2XNrsEduFxoSo900h9e7um","source":"news.stthomas.edu","summary":"Manjeet Rege, data science and software engineering professor at the University of St. Thomas School of Engineering, recently spoke with The ...","tags":["Data Science"],"type":"news"},{"title":"Microsoft warns of new, sophisticated malware targeting macOS developers - The Indian Express","date":[2025,2,19,11,30,43,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://indianexpress.com/article/technology/tech-news-technology/microsoft-malware-threat-macos-developers-apple-9844554/&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw1HzNfQo4GSfxEMwRcpX8Uj","source":"indianexpress.com","summary":"This particular family of malware allows threat actors to target digital wallets and collect data from the Notes app. Advertisement. By: Tech Desk New ...","tags":["Tech News"],"type":"news"},{"title":"How AI makes marketing data more accessible and actionable | MarTech","date":[2025,2,19,16,11,24,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://martech.org/how-ai-makes-marketing-data-more-accessible-and-actionable/&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw2-1SwjylpGJM5UymDcbgyh","source":"martech.org","summary":"Predictive analytics empowers marketers to act instead of react. Instead of waiting for a campaign to underperform and scrambling to adjust, you can ...","tags":["Data Science"],"type":"news"},{"title":"Massive Foundation Model for Biomolecular Sciences Now Available via NVIDIA BioNeMo","date":[2025,2,19,16,7,8,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://blogs.nvidia.com/blog/evo-2-biomolecular-ai/&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw0j_eOcGaZ-TPT72IbF8bZt","source":"blogs.nvidia.com","summary":"Unveiled today as the largest publicly available AI model for genomic data, it was built on the NVIDIA DGX Cloud platform in a collaboration led by ...","tags":["Data Science","AI"],"type":"news"},{"title":"Improving image quality and diagnostic usability in photon-counting coronary CT ...","date":[2025,2,19,13,59,5,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.springermedizin.de/improving-image-quality-and-diagnostic-usability-in-photon-count/50655852&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw2YJOgJdhVgQ8J7RMr5TSjR","source":"www.springermedizin.de","summary":"... algorithm. verfasst von: Nina P. Haag, Julius H. Niehoff, Iram ... algorithm; TS, TrueStack reconstruction algorithm; n, numbers of patients.","tags":["Algorithms"],"type":"news"},{"title":"VMCVM Pet Spotlight: Blaze Christianson | Virginia Tech News","date":[2025,2,19,10,38,36,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://news.vt.edu/articles/2025/02/vetmed-pet-spotlight-blaze.html&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw0wCnPGySkM4iRgXwNaBgyR","source":"news.vt.edu","summary":"Meet Blaze Christianson, a four-year-old Pembroke Welsh Corgi, is a confident, treat-loving adventurer who keeps his humans well-trained and ...","tags":["Tech News"],"type":"news"},{"title":"GenAI Fuels Enterprise Analytics Progress in Brazil - Business Wire","date":[2025,2,19,15,53,1,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.businesswire.com/news/home/20250219106198/en/GenAI-Fuels-Enterprise-Analytics-Progress-in-Brazil&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw3hIG3DWaRVJGGMznKZgWDV","source":"www.businesswire.com","summary":"Enterprises in Brazil are making significant advancements in the use of AI as their data management and analytics capabilities mature, ISG says.","tags":["Data Science","AI"],"type":"news"},{"title":"SwRI develops computational method to track brain cell development - News-Medical","date":[2025,2,19,13,18,16,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.news-medical.net/news/20250218/SwRI-develops-computational-method-to-track-brain-cell-development-SAN-ANTONIO-e28093-Feb-18.aspx&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw1QXZGOzMfhZYTlzJ2-jvH3","source":"www.news-medical.net","summary":"\"The algorithm can help study various neurological diseases and assist in the development and testing of associated therapies.\" Conventional neuron- ...","tags":["Algorithms"],"type":"news"},{"title":"New Class of 2026 Senator Sworn in, Data Science School Integrated into Student Assembly","date":[2025,2,19,15,45,7,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://flathatnews.com/2025/02/19/new-class-of-2026-senator-sworn-in-data-science-school-integrated-into-student-assembly/&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw3WToK61lO7ytfwR9Tkc16Q","source":"flathatnews.com","summary":"Tuesday, Feb. 11, the College of William and Mary's Student Assembly Senate voted to pass “The School of Computing, Data Sciences & Physics ...","tags":["Data Science"],"type":"news"},{"title":"Safe Pro Surpasses 1,000,000 Drone Images Analyzed Milestone Using Its Novel AI ...","date":[2025,2,19,13,11,0,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.businesswire.com/news/home/20250219761896/en/Safe-Pro-Surpasses-1000000-Drone-Images-Analyzed-Milestone-Using-Its-Novel-AI-Algorithms-Machine-Learning-Models-on-AWS-Cloud-Advancing-Small-Object-Threat-Detection&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw0LbJlw00CBBfseozAjD267","source":"www.businesswire.com","summary":"“Through continued development of our algorithms, we look forward to applying our IP to support evolving customer requirements for specialized small ...","tags":["Algorithms"],"type":"news"},{"title":"8+ things to know in #MiamiTech: Israel Tech Week to debut, a new web3 fund in making ...","date":[2025,2,19,9,53,48,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://refreshmiami.com/news/8-things-to-know-in-miamitech-israel-tech-week-to-debut-a-new-web3-fund-in-making-plus-news-from-magic-leap-fau-arcee-ai-autoket-more/&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw1feJNk4tY_SSJ83R8kpEMQ","source":"refreshmiami.com","summary":"8+ things to know in #MiamiTech: Israel Tech Week to debut, a new web3 fund in making, plus news from Magic Leap, FAU, Arcee AI, Autoket & more · 1.","tags":["Tech News"],"type":"news"},{"title":"Powerful quantum computer just years away after chip breakthrough: Microsoft","date":[2025,2,19,19,1,35,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.smh.com.au/national/powerful-quantum-computer-just-years-away-after-chip-breakthrough-microsoft-20250219-p5ldde.html&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw2TE6MOrYF2Y_LjIXMX-a2w","source":"www.smh.com.au","summary":"The quantum computer, more powerful than all the world's computers combined, could lead to the development of new drugs and chemicals.","tags":["Quantum Computing"],"type":"news"},{"title":"Osborne Clarke advises majority shareholders of biostatistics and data science company ...","date":[2025,2,19,15,40,18,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.osborneclarke.com/news/osborne-clarke-advises-majority-shareholders-biostatistics-and-data-science-company&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw3906DNHwEKleb8HHuL05fL","source":"www.osborneclarke.com","summary":"... sciences sector, on its sale to data-focused clinical research organisation (CRO) MMS.Exploristics' expertise in biostatistics and data science ...","tags":["Data Science"],"type":"news"},{"title":"This AI tool could help curb domestic violence - Fast Company","date":[2025,2,19,12,58,3,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.fastcompany.com/91280559/automated-intimate-partner-violence-risk-support-system&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw0ZPmyfJ4Q8x3LY5ak7gcDd","source":"www.fastcompany.com","summary":"This is followed by a “silent study” where the algorithm makes recommendations for patient care for patients who have been labeled as victims.","tags":["Algorithms"],"type":"news"},{"title":"The international AI race needs quantum computing | DefenseScoop","date":[2025,2,19,18,37,39,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://defensescoop.com/2025/02/19/international-ai-race-needs-quantum-computing/&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw36kmc_InV_ODR93jR7YP2H","source":"defensescoop.com","summary":"Quantum computers will generate higher volumes of data and higher quality data than classical synthetic data. “The future of generative AI training ...","tags":["Quantum Computing","AI"],"type":"news"},{"title":"Musk's xAI releases Grok-3, touting a new rival to OpenAI and DeepSeek - NBC News","date":[2025,2,19,9,14,9,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.nbcnews.com/tech/tech-news/musk-xai-releases-grok-3-rcna192670&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw256yzOtpXdsRS85lCYYMeM","source":"www.nbcnews.com","summary":"In a screenshot he shared on Sunday, however, Musk praised Grok-3 for seemingly lambasting the tech-focused news outlet The Information and hailing X ...","tags":["Tech News"],"type":"news"},{"title":"Microsoft Makes Quantum Computing Advance - WSJ","date":[2025,2,19,18,20,35,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.wsj.com/livecoverage/stock-market-today-dow-sp500-nasdaq-live-02-19-2025/card/microsoft-makes-quantum-computing-advance-3bs7TJPEuwfdynDsZKDm&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw3Qp5aP0lRA6g5k30Wp0OwX","source":"www.wsj.com","summary":"While traditional computers use binary digits, which can either be ones or zeros, quantum computers use quantum bits, or qubits, which represent and ...","tags":["Quantum Computing"],"type":"news"},{"title":"Digital Digest: The Latest Tech News – Oakglen Wealth - WealthBriefing","date":[2025,2,19,8,22,13,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.wealthbriefing.com/html/article.php/Digital-Digest%253A-The-Latest-Tech-News-%25E2%2580%2593-Oakglen-Wealth%3Fid%3D203654&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw0WerTpVcFn-h0N3yBXw_FG","source":"www.wealthbriefing.com","summary":"The latest technology news in the wealth management sector from around the world. Oakglen Wealth, a wealth manager with offices in London and ...","tags":["Tech News"],"type":"news"},{"title":"Post Hoc Explanations Improve Consumer Responses to Algorithmic Decisions | Newswise","date":[2025,2,19,12,46,4,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.newswise.com/articles/post-hoc-explanations-improve-consumer-responses-to-algorithmic-decisions&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw35W_Ts_vpqW7gy6TGNfyLX","source":"www.newswise.com","summary":"Abstract Algorithms are capable of assisting with, or making, critical decisions in many areas of consumers' lives. Algorithms have consistently ...","tags":["Algorithms"],"type":"news"},{"title":"DataChat's Gen AI Platform for Analytics on Track for Continued Growth in 2025","date":[2025,2,19,15,14,34,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.businesswire.com/news/home/20250219735773/en/DataChat%25E2%2580%2599s-Gen-AI-Platform-for-Analytics-on-Track-for-Continued-Growth-in-2025&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw2N2epfvsswTqhKzqtz1FjU","source":"www.businesswire.com","summary":"The company will also soon unveil an API for Slack integration, enabling users to ask queries and receive real time data analytics via the Slack app ...","tags":["Data Science"],"type":"news"},{"title":"Microsoft's Big Bet on Majorana Pays Off with New Topological Quantum Chip - HPCwire","date":[2025,2,19,18,20,29,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.hpcwire.com/2025/02/19/microsofts-big-bet-on-majorana-pays-off-with-new-topological-quantum-chip/&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw2_Bh3GjHHZxaGhwReVDJHg","source":"www.hpcwire.com","summary":"Building the world's first fault-tolerant prototype (FTP) based on topological qubits—Microsoft will build an FTP of a scalable quantum computer—in ...","tags":["Quantum Computing"],"type":"news"},{"title":"How do delivery platforms use algorithms to manage workers? - European Digital Rights (EDRi)","date":[2025,2,19,11,48,6,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://edri.org/our-work/12-civil-society-organisations-tell-delivery-platforms-its-time-to-deliver-answers-on-how-they-use-algorithms-to-manage-their-workers/&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw2H1VYZJNJEltjbGhWUWwNw","source":"edri.org","summary":"12 civil society organisations tell delivery platforms it's time to deliver answers on how they use algorithms to manage their workers. EDRi member ...","tags":["Algorithms"],"type":"news"},{"title":"Microsoft Reveals Its First Quantum Computing Chip - Investor's Business Daily","date":[2025,2,19,18,13,40,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.investors.com/news/technology/microsoft-stock-first-quantum-computing-chip/&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw1o2gzaTRyE1oSDRYDRDkSM","source":"www.investors.com","summary":"Microsoft announced its first quantum computing chip, called the Majorana 1, a major advancement in the young field. Microsoft stock rose.","tags":["Quantum Computing"],"type":"news"},{"title":"Algorithm Trading Market to Hit $55.56 Billion By 2034, - openPR.com","date":[2025,2,19,11,26,9,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.openpr.com/news/3876570/algorithm-trading-market-to-hit-55-56-billion-by-2034&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw3FShZy6qEgZf7RTMKtJWX_","source":"www.openpr.com","summary":"Algorithm Trading Market involves using automated systems to execute trades in financial markets, enhancing efficiency and accuracy.","tags":["Algorithms"],"type":"news"},{"title":"There's been a major breakthrough in quantum computing!! Microsoft's r... | TikTok - TikTok","date":[2025,2,19,18,11,20,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.tiktok.com/%40ijustine/video/7473162091504028974&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw1TaOv9No8DxFjt505TlZ5w","source":"www.tiktok.com","summary":"... quantum computer has the potential to revolutionize fields like AI and scientific research.”. quantum computing. original sound - iJustine.","tags":["Quantum Computing","AI"],"type":"news"},{"title":"Quantum Computing Stocks Tick Up as Microsoft Reveals New Chip - Yahoo Finance","date":[2025,2,19,18,10,30,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://finance.yahoo.com/news/quantum-computing-stocks-tick-microsoft-180521293.html&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw2YBX29tJufR93Y0FuC46AE","source":"finance.yahoo.com","summary":"Microsoft's new quantum chip, aims to bring million-qubit quantum computing closer to reality, pushing quantum stocks higher.","tags":["Quantum Computing"],"type":"news"},{"title":"SLB Acquires Data-Visualization Firm INT - JPT - Society of Petroleum Engineers","date":[2025,2,19,15,1,32,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://jpt.spe.org/slb-acquires-data-visualization-firm-int&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw0ipaQpbTPzZZFTugfrD84q","source":"jpt.spe.org","summary":"SLB said it plans to integrate INT's technology into its digital data and artificial intelligence platforms. February 19, 2025. Data Science and ...","tags":["Data Science"],"type":"news"},{"title":"How Western Tech Companies Are Avoiding China - Tech News Briefing - WSJ Podcasts","date":[2025,2,19,8,4,23,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.wsj.com/podcasts/tech-news-briefing/how-western-tech-companies-are-avoiding-china/4ca8c2d5-740c-4455-bb08-832d683fc2a8&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw3dx0qHPdi_r7jx93-akk-0","source":"www.wsj.com","summary":"As U.S.-China tensions heat up, Western tech companies are migrating their supply chains away from China. Producer Julie Chang talks with China ...","tags":["Tech News"],"type":"news"},{"title":"Breakthrough quantum chip that harnesses new state of matter could set us on the path to ...","date":[2025,2,19,17,31,41,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.livescience.com/technology/computing/quantum-processor-that-uses-entirely-new-state-of-matter-could-set-us-on-the-path-to-quantum-supremacy&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw0TkN3_uVPmZxkikv0fX7YZ","source":"www.livescience.com","summary":"Scientists at Microsoft have built a new quantum computing chip using a special category of material capable of tapping into a new state of matter.","tags":["Quantum Computing"],"type":"news"},{"title":"Kennesaw State assistant professor finds passion in mentoring student researchers - News","date":[2025,2,19,14,10,0,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.kennesaw.edu/news/stories/2025/assistant-professor-mentoring-student-researchers.php&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw2zc6kwDNT8yc17ePoDY_0A","source":"www.kennesaw.edu","summary":"A devoted public health and data science advocate, Kennesaw State University assistant professor Kevin B. Gittner says his true passion is ...","tags":["Data Science"],"type":"news"},{"title":"Microsoft claims quantum-computing breakthrough — but some physicists are sceptical - Nature","date":[2025,2,19,17,16,17,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.nature.com/articles/d41586-025-00527-z&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw1SmF6j-6niOO0GNMQ0zA9x","source":"www.nature.com","summary":"The tech giant aims to make 'topological' quantum computers that will reach useful scales faster than competing technologies.","tags":["Quantum Computing"],"type":"news"},{"title":"Microsoft Unveils First Quantum Computing Chip - YouTube","date":[2025,2,19,17,13,8,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.youtube.com/watch%3Fv%3DOOP4WbP2TbM&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw1fiTH1O2gCyQKapoHKgSgo","source":"www.youtube.com","summary":"Microsoft announced a major milestone in its quantum computing efforts on Wednesday, unveiling its first quantum computing chip, called Majorana 1 ...","tags":["Quantum Computing"],"type":"news"},{"title":"Are humanoid robots a rising trend for AI in 2025? TFN's key takeaways from WAICF — TFN","date":[2025,2,19,7,28,45,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://techfundingnews.com/are-humanoid-robots-a-rising-trend-for-ai-in-2025-tfns-key-takeaways-from-waicf/&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw2Xsuycol4V8YBK8SEpMxeO","source":"techfundingnews.com","summary":"Our team at Tech Funding News, after visiting WAICF, can confirm that ... Foodtech News · Funding News · Latest News · Startups News · Top Funding ...","tags":["Tech News"],"type":"news"},{"title":"ALABS Audio Cetus review with synths, a no-brainer stereo ambient reverb pedal","date":[2025,2,19,11,0,12,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://synthanatomy.com/2025/02/alabs-audio-cetus-review-with-synths-a-no-brainer-stereo-ambient-reverb-pedal.html&ct=ga&cd=CAIyGmJjZTE5MjY5OTFhZWI2NDY6Y29tOmVuOlVT&usg=AOvVaw3SuwyurLHepIfjlbelzIH_","source":"synthanatomy.com","summary":"The hall reverb algorithm is in the pole position, followed by other classic algorithms, including room and church. They have decent quality—not ...","tags":["Algorithms"],"type":"news"},{"title":"Quantum game changer - Lowy Institute","date":[2025,2,19,17,4,45,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.lowyinstitute.org/the-interpreter/quantum-game-changer&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw1ClZ4AG-6JN11xqPBAiNG0","source":"www.lowyinstitute.org","summary":"At its core, quantum computing enables the rapid solving of extremely complex mathematical problems at a tremendously fast rate. For example, Google ...","tags":["Quantum Computing"],"type":"news"},{"title":"One Health: Using cross-species genomic analyses to track population health - Research at Purdue","date":[2025,2,19,14,3,36,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.purdue.edu/research/features/stories/one-health-using-cross-species-genomic-analyses-to-track-population-health/&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw0tToBoQxKiTg0BvuTyJZRR","source":"www.purdue.edu","summary":"... data science in the College of Liberal Arts. “Can we leverage the tools ... Sciences Research Data Ecosystem. The project, titled “Using ...","tags":["Data Science"],"type":"news"},{"title":"Powerful quantum computers in years not decades, says Microsoft - BBC","date":[2025,2,19,17,4,5,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.bbc.com/news/articles/cj3e3252gj8o&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw2t0y0p0yJxPWEdmx2BcbSm","source":"www.bbc.com","summary":"It is the latest development in quantum computing - tech which uses principles of particle physics to create a new type of computer able to solve ...","tags":["Quantum Computing"],"type":"news"},{"title":"DARPA plans 'major expansion' of quantum computing push next month - Breaking Defense","date":[2025,2,19,17,2,43,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://breakingdefense.com/2025/02/darpa-plans-major-expansion-of-quantum-computing-push-next-month/&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw2AVHJrO1roP_pHmp1gSwEC","source":"breakingdefense.com","summary":"In March, DARPA will add multiple companies to its Quantum Benchmarking Initiative, program manager Joe Altepeter told Breaking Defense.","tags":["Quantum Computing"],"type":"news"},{"title":"New therapy dog helps students settle into the semester in the D.C. area","date":[2025,2,19,5,23,21,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://news.vt.edu/articles/2025/02/gradschool-hoopes-therapydog.html&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw0w-sL7_SgxZjBEiRnzwA_z","source":"news.vt.edu","summary":"News. Browse. Categories Categories Submenu Toggle. Academics · Campus ... Virginia Tech graduate students with therapy dog Allen. Photo by Cathy ...","tags":["Tech News"],"type":"news"},{"title":"Microsoft Announces Development of Its First Operational Topological Qubit Device","date":[2025,2,19,16,46,46,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://quantumcomputingreport.com/microsoft-announces-development-of-its-first-operational-topological-qubit-device/&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw09INowVjB_PJs1VPu6qud9","source":"quantumcomputingreport.com","summary":"Measurement Based Quantum Computing with Error Correction. Performing calculations in a topological quantum computer is different than most other ...","tags":["Quantum Computing"],"type":"news"},{"title":"Exclusive: These universities have the most retracted scientific articles - Nature","date":[2025,2,19,13,57,39,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.nature.com/articles/d41586-025-00455-y&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw3aLIK39Jvc0vegc6IYH6Ft","source":"www.nature.com","summary":"But universities and institutes in China, Saudi Arabia, India, Pakistan and Ethiopia feature in the data as well. Retractions can be for honest ...","tags":["Data Science"],"type":"news"},{"title":"Microsoft builds its first qubits, lays out roadmap for quantum computing - Ars Technica","date":[2025,2,19,16,41,10,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://arstechnica.com/science/2025/02/microsoft-builds-its-first-qubits-lays-out-roadmap-for-quantum-computing/&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw2F0g7m5vtcp5yA0_LPPoOL","source":"arstechnica.com","summary":"On Wednesday, Microsoft released an update on its efforts to build quantum computing hardware based on the physics of quasiparticles that have largely ...","tags":["Quantum Computing"],"type":"news"},{"title":"It is hard to be a robot in the wild | Science Robotics","date":[2025,2,19,19,15,41,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.science.org/doi/10.1126/scirobotics.adw1608&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw0fB8yDCCM_tMm3llRK9U4r","source":"www.science.org","summary":"The movie indicates that Roz was intended to work in idealized future farms (1), where robots conduct agricultural tasks among neat rows of crops ...","tags":["Robotics"],"type":"news"},{"title":"Microsoft unveils Majorana 1, the world's first quantum processor powered by topological qubits","date":[2025,2,19,16,41,7,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://azure.microsoft.com/en-us/blog/quantum/2025/02/19/microsoft-unveils-majorana-1-the-worlds-first-quantum-processor-powered-by-topological-qubits/&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw0zyij6LXebmaZeiVgpxn1M","source":"azure.microsoft.com","summary":"Quantum computers promise to transform science and society—but only after they achieve the scale that once seemed distant and elusive, and their ...","tags":["Quantum Computing"],"type":"news"},{"title":"Satya Nadella on X: \"A couple reflections on the quantum computing breakthrough we just ...","date":[2025,2,19,16,33,0,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://x.com/satyanadella/status/1892242895094313420&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw1jeL5_2AmwB4HRKamdXdcX","source":"x.com","summary":"We believe this breakthrough will allow us to create a truly meaningful quantum computer not in decades, as some have predicted, but in years. The ...","tags":["Quantum Computing"],"type":"news"},{"title":"Microsoft's Majorana Topological Chip -- An Advance 17 Years in The Making","date":[2025,2,19,16,24,54,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://thequantuminsider.com/2025/02/19/microsofts-majorana-topological-chip-an-advance-17-years-in-the-making/&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw05MCQorcTp8SQ1XJv9TxmG","source":"thequantuminsider.com","summary":"Microsoft has made progress toward building a more stable quantum computer by successfully measuring a key property of exotic particles.","tags":["Quantum Computing"],"type":"news"},{"title":"No. 9 Tech falls in Fort Worth - Texas Tech Red Raiders","date":[2025,2,19,4,47,39,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://texastech.com/news/2025/2/18/mens-basketball-no-9-tech-falls-in-fort-worth&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw2CgpiMp4MUXVY3Ru0cO-UP","source":"texastech.com","summary":"Related News ; Charlie DeLong · DeLong's hot start puts Tech in the top-10 at the Prestige ; Darrion Williams. No. 9 Tech set for Tuesday tussle at TCU.","tags":["Tech News"],"type":"news"},{"title":"expert reaction to study from Microsoft Azure Quantum on measuring topological qubits","date":[2025,2,19,16,21,11,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.sciencemediacentre.org/expert-reaction-to-study-from-microsoft-azure-quantum-on-measuring-topological-qubits/&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw3XvvQp2pGn0rMU5ojJ2ilu","source":"www.sciencemediacentre.org","summary":"This noise resilience could pay off in the long term, as processing quantum information (rather than the classical bits that traditional computers ...","tags":["Quantum Computing"],"type":"news"},{"title":"Microsoft creates chip it says shows quantum computers are 'years, not decades' away","date":[2025,2,19,16,15,33,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.reuters.com/technology/microsoft-creates-chip-it-says-shows-quantum-computers-are-years-not-decades-2025-02-19/&ct=ga&cd=CAIyGmYwYzUwNDYzZmU3ZjQ1Mzc6Y29tOmVuOlVT&usg=AOvVaw3iv7HMPjELSY6YlABcNSiQ","source":"www.reuters.com","summary":"Microsoft on Wednesday unveiled a new chip that it said showed quantum computing is \"years, not decades\" away, joining Google and IBM in ...","tags":["Quantum Computing"],"type":"news"},{"title":"ThoughtSpot launches Analyst Studio, empowering data teams to accelerate data readiness for AI","date":[2025,2,19,13,10,47,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.intelligentcio.com/apac/2025/02/19/thoughtspot-launches-analyst-studio-empowering-data-teams-to-accelerate-data-readiness-for-ai/&ct=ga&cd=CAIyGjE4YjE2NTY2YjEwNTg2ZjY6Y29tOmVuOlVT&usg=AOvVaw3O3yydcQRjkyUfuuQ8l_x7","source":"www.intelligentcio.com","summary":"... data science and advanced analytics use cases that drive business outcomes. As AI becomes an integral driver of business processes, data teams ...","tags":["Data Science","AI"],"type":"news"},{"title":"A democratized bimodal model of research for soft robotics: Integrating slow and fast science","date":[2025,2,19,19,15,40,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.science.org/doi/10.1126/scirobotics.adr2708&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw2mTnzlc3t0zcEyRPAZS5Ag","source":"www.science.org","summary":"The 1950s saw the invention of one of the first soft robotic components, the pneumatic artificial muscle (PAM) (1), introducing fundamentally new ...","tags":["Robotics"],"type":"news"},{"title":"Lady Raiders prepared to take on Cincinnati - Texas Tech Athletics","date":[2025,2,19,4,38,9,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://texastech.com/news/2025/2/18/womens-basketball-lady-raiders-prepared-to-take-on-cincinnati&ct=ga&cd=CAIyGjlkN2NiMDBhMjM1YjQyOTI6Y29tOmVuOlVT&usg=AOvVaw0P6EC-vsMLEhh99aYRSkZ0","source":"texastech.com","summary":"Related News. Skip Ad. Lukas Pirko · Tech drops series finale, 4-2, at No. 6 UNC. Saturday, February 15. Bravo UNC. Tech falls twice at No. 6 UNC.","tags":["Tech News"],"type":"news"},{"title":"THS Robotics club prepares for regional competition | Community - Teton Valley News","date":[2025,2,19,18,11,22,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.tetonvalleynews.net/community/ths-robotics-club-prepares-for-regional-competition/article_e704aefa-ed59-11ef-8360-0b2f1b5a0726.html&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw36QKSuprdPskbQa0tIaHZh","source":"www.tetonvalleynews.net","summary":"The THS Robotics club will compete in the Utah Regional First Robotics event held outside Salt Lake City next month. Teton Valley News recently ...","tags":["Robotics"],"type":"news"},{"title":"NGen: Maple Advanced Robotics Inc Wins Prestigious Hannover Messe ROBOTICS AWARD 2025","date":[2025,2,19,18,1,46,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://finance.yahoo.com/news/ngen-maple-advanced-robotics-inc-175300304.html&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw2C_-gb6bIA-GnTdUNqJyz4","source":"finance.yahoo.com","summary":"The coveted prize celebrates innovations that merge technical excellence, market readiness, and economic viability—qualities exemplified by the ...","tags":["Robotics"],"type":"news"},{"title":"'City Killer' Asteroid's Earth Impact Risk Rises to Highest Ever Recorded","date":[2025,2,19,19,16,39,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.scientificamerican.com/article/city-killer-asteroids-earth-impact-risk-rises-to-highest-ever-recorded/&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw2XVPhmWxlU9WjjqhyNBZh5","source":"www.scientificamerican.com","summary":"The asteroid 2024 YR4 probably won't come nearly as close to Earth anytime soon as the space rock in this artist's illustration. But astronomers can't yet rule out a potentially catastrophic encounter projected for December 2032.","tags":["Science"],"type":"news"},{"title":"Lake Area Robotics Team Headed To State Competition","date":[2025,2,19,17,27,8,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.lakeexpo.com/community/community_news/lake-area-robotics-team-headed-to-state-competition/article_85589692-ee0f-11ef-99ee-2bda85461a16.html&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw1HEhTclf2RT2177tqJ2IOJ","source":"www.lakeexpo.com","summary":"... robotics is getting to talk to other teams at competitions. It's always so fun to see familiar faces and catch up with other robotics people!","tags":["Robotics"],"type":"news"},{"title":"Assembly to Host Global Tattoo Algorithm Competitions in 2025 in Collaboration with ...","date":[2025,2,19,19,6,57,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://pressat.co.uk/releases/assembly-to-host-global-tattoo-algorithm-competitions-in-2025-in-collaboration-with-ethereum-polkadot-co-founder-36596e3dc2255ba85495fb16af3e54fe/&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw3BafJx9BlLPQKyTugfuecx","source":"pressat.co.uk","summary":"A Groundbreaking Algorithmic Tattoo Design Contest Merging Web3 Individuality and Art The Entropretty Competition, a global contest for developers ...","tags":["Web3"],"type":"news"},{"title":"Astronomers reveal 3D structure of an alien planet's atmosphere","date":[2025,2,19,18,40,25,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.reuters.com/science/astronomers-reveal-3d-structure-an-alien-planets-atmosphere-2025-02-19/&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw1Cg3WGxzyUBqiWNm2V7cej","source":"www.reuters.com","summary":"WASHINGTON, Feb 19 (Reuters) - Astronomers for the first time have deciphered the three-dimensional structure of the atmosphere of a planet beyond our solar system, revealing three layers like a wedding cake on a ferociously hot gas planet that orbits ...","tags":["Science"],"type":"news"},{"title":"Resilient algae may speed up Greenland ice melt","date":[2025,2,19,18,3,28,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.sciencedaily.com/releases/2025/02/250219105829.htm&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw3caqs1A6pHQmOhcAdSNe8e","source":"www.sciencedaily.com","summary":"Summary: New research reveals that ice algae can store nutrients which may enable them to colonize more of the ice sheet, darkening and melting it. Share: Facebook Twitter ...","tags":["Science"],"type":"news"},{"title":"In A First, Astronomers Reveal 3D Structure Of Alien Planet's Atmosphere - NDTV","date":[2025,2,19,19,21,30,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.ndtv.com/world-news/in-a-first-astronomers-reveal-3d-structure-of-alien-planets-atmosphere-7749145&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw0npgSXvjjUhijvlNNugmr3","source":"www.ndtv.com","summary":"Astronomers for the first time have deciphered the three-dimensional structure of the atmosphere of a planet beyond our solar system.","tags":["Astronomy"],"type":"news"},{"title":"Canary Capital Launches Canary AXL Trust, Expanding Institutional Crypto Investment ...","date":[2025,2,19,19,0,27,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.businesswire.com/news/home/20250219739332/en/Canary-Capital-Launches-Canary-AXL-Trust-Expanding-Institutional-Crypto-Investment-Offerings-to-the-Token-Powering-the-Axelar-Network&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw3lF9oNj5jCxyjNPC8UdeCx","source":"www.businesswire.com","summary":"... Web3 and financial infrastructure. “With Axelar driving some of the most advanced interoperability solutions in Web3, we see in AXL a significant ...","tags":["Web3"],"type":"news"},{"title":"New AI breakthrough can model and design genetic code across all domains of life","date":[2025,2,19,17,52,55,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://engineering.berkeley.edu/news/2025/02/new-ai-breakthrough-can-model-and-design-genetic-code-across-all-domains-of-life/&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw30sywgDgXPEbvDawe2qxbp","source":"engineering.berkeley.edu","summary":"Marking a major milestone for biomolecular sciences, a team of researchers — made up of scientists from UC Berkeley, Arc Institute, UCSF, Stanford University and NVIDIA — have developed a machine learning model trained on the DNA of over 100,000 ...","tags":["Science"],"type":"news"},{"title":"Amazon's big bet on warehouse robots is already getting a boost from generative AI","date":[2025,2,19,17,25,25,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://fortune.com/2025/02/19/amazons-big-bet-on-warehouse-robots-is-already-getting-a-boost-from-generative-ai/&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw3rgZpvmi_-2VLdVJTq0C5U","source":"fortune.com","summary":"Amazon already operates a fleet of more than 750000 robotics in the U.S. Generative AI is helping make these devices even more effective.","tags":["Robotics","AI"],"type":"news"},{"title":"A total lunar eclipse is coming in March. Will Wisconsinites be able to see it?","date":[2025,2,19,17,48,17,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.jsonline.com/story/news/local/2025/02/19/how-to-see-the-2025-lunar-eclipse-in-milwaukee-wisconsin/79190347007/&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw1jRPW47rrboSPil_jnQb0_","source":"www.jsonline.com","summary":"According to NASA, a lunar eclipse occurs when the sun, Earth and moon align so the moon passes into the Earth's shadow. During a total lunar eclipse, the whole moon will be within the darkest part of the Earth's shadow, otherwise known as the umbra, ...","tags":["Science"],"type":"news"},{"title":"See it: Firefly's lunar lander zooms 75 miles above far side of Moon","date":[2025,2,19,16,45,37,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.foxweather.com/earth-space/firefly-lunar-lander-far-side-moon&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw38GpMPLQ7Lxy69s69KeseO","source":"www.foxweather.com","summary":"The Blue Ghost lander carrying 10 NASA science payloads to the Moon launched from Florida in January and is in the final two weeks of its spaceflight orbiting the Moon before a hopeful soft landing on the surface.","tags":["Science"],"type":"news"},{"title":"World's glaciers melting faster than ever recorded","date":[2025,2,19,16,27,11,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.bbc.com/news/articles/cy4ly8vde85o&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw1-RnE3E2Rc9S7HV9jhmlb5","source":"www.bbc.com","summary":"Mountain glaciers - frozen rivers of ice – act as a freshwater resource for millions of people worldwide and lock up enough water to raise global sea-levels by 32cm (13in) if they melted entirely.","tags":["Science"],"type":"news"},{"title":"expert reaction to study of glacier melt this century","date":[2025,2,19,16,20,35,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.sciencemediacentre.org/expert-reaction-to-study-of-glacier-melt-this-century/&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw30QwPc-lyw2t64KKOhHxeg","source":"www.sciencemediacentre.org","summary":"A study published in Nature estimates global glacier melting from 2000 to 2023. Prof Andrew Shepherd, Head of Department of Geography and Environmental Science, Northumbria University, said: “This is really important as it's an authoritative assessment ...","tags":["Science"],"type":"news"},{"title":"Astronomers reveal 3D structure of an alien planet's atmosphere | The Mighty 790 KFGO","date":[2025,2,19,18,6,8,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://kfgo.com/2025/02/19/astronomers-reveal-3d-structure-of-an-alien-planets-atmosphere/&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw1f64IGQ-rZzTboWxmTCQYC","source":"kfgo.com","summary":"By Will Dunham WASHINGTON (Reuters) - Astronomers for the first time have deciphered the three-dimensional structure of the atmosphere of a planet ...","tags":["Astronomy"],"type":"news"},{"title":"Top Web3 Games are coming to Ronin Network - NFT Evening","date":[2025,2,19,18,19,43,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://nftevening.com/networktop-games-ronin-network/&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw2oSH1YIsM2Z-G7CoP0UVbX","source":"nftevening.com","summary":"Ronin Network is redefining Web3 gaming in 2025 with iconic titles, innovative gameplay, and developer-friendly tools for immersive blockchain ...","tags":["Hardware","Web3"],"type":"news"},{"title":"Biggest-ever AI biology model writes DNA on demand","date":[2025,2,19,16,9,36,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.nature.com/articles/d41586-025-00531-3&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw3LiKxVyn7eoRXVNGTY6CzS","source":"www.nature.com","summary":"Unlike these models, Evo-2 was trained on genome data that contains both 'coding sequences' — which carry instructions for making proteins — and non-coding DNA that includes sequences that can control when, where and how genes are active.","tags":["Science"],"type":"news"},{"title":"Global Cloud Robotics Market to Approach $43.8 Billion by 2030, Growing at 23.4% CAGR ...","date":[2025,2,19,17,18,43,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://finance.yahoo.com/news/cloud-robotics-market-forecast-report-171300788.html&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw32IDMDTW827OXQKnfzHrgP","source":"finance.yahoo.com","summary":"Robotics as a Service is the largest business model with 46% of total cloud robotics market. The global artificial intelligence market in cloud ...","tags":["Robotics"],"type":"news"},{"title":"We may be able to trap climate pollution in ordinary rocks","date":[2025,2,19,16,3,38,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.washingtonpost.com/climate-solutions/2025/02/19/rock-weathering-climate-change/&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw1XsL9KPwxARzMpzeM6-aWi","source":"www.washingtonpost.com","summary":"Harnessing some of the same technologies used today to produce cement, scientists said they have found a way of heating a mixture of common minerals and turning them into a material that can suck carbon out of the sky and deposit it deep in Earth's oceans.","tags":["Science"],"type":"news"},{"title":"Post-Permian Extinction Tropical Ecosystems Recovered Much Faster than Expected","date":[2025,2,19,15,28,55,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.sci.news/paleontology/post-permian-extinction-tropical-ecosystems-13681.html&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw0kmuFCkBSc7f_lLgQsibfk","source":"www.sci.news","summary":"Tropical riparian ecosystems — those found along rivers and wetlands — in what is now North China recovered within as little as 2 million years after the end-Permian extinction, one of the most devastating bio-crises in the history of life, ...","tags":["Science"],"type":"news"},{"title":"How does astronomy fit into astrophysics – and does it matter? | New Scientist","date":[2025,2,19,18,0,45,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.newscientist.com/article/mg26535310-100-how-does-astronomy-fit-into-astrophysics-and-does-it-matter/&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw0Ny0mjsmj3QWUeFR798I6q","source":"www.newscientist.com","summary":"But what this merger means is that even we “astronomers and astrophysicists” have given up telling the difference between the two. How does astronomy ...","tags":["Astronomy"],"type":"news"},{"title":"'Speech gene' seen only in modern humans may have helped us evolve to talk","date":[2025,2,19,14,40,33,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.livescience.com/health/genetics/speech-gene-seen-only-in-modern-humans-may-have-helped-us-evolve-to-talk&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw2OMzAsjyP47gYKvOw5Pita","source":"www.livescience.com","summary":"A specific gene variant seen in people is likely one of many that contributed to the development of language in modern humans, scientists say. And it changes how mice squeak. Comments ( 0 ) (). When you purchase through links on our site, we may earn ...","tags":["Science"],"type":"news"},{"title":"Top 5 Web3 Tokens to look for: January – March 2025 - Techlusive","date":[2025,2,19,18,10,9,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.techlusive.in/cryptocurrency/top-5-web3-tokens-to-look-for-january-march-2025-1546852/&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw3tRak_SQtMPU62Ef4RCW52","source":"www.techlusive.in","summary":"Here I have jotted down the top 5 web3 token that you can keep a tab in the first quarter of 2025.","tags":["Web3"],"type":"news"},{"title":"Canadian Company Wins ROBOTICS AWARD 2025 - Automation.com","date":[2025,2,19,17,9,36,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.automation.com/en-us/articles/february-2025/canadian-company-wins-robotics-award-2025%3Flistname%3DAutomation%2520%26%2520Control%2520News%2520%26%2520Articles&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw0X1zdVIQlDsLmEI9gV4cII","source":"www.automation.com","summary":"During HANNOVER MESSE, Deutsche Messe presents the annual ROBOTICS AWARD that honors robot-based automation and logistics solutions. This year's ...","tags":["Robotics"],"type":"news"},{"title":"Alaska's Lakes and Ponds Reveal Effects of Permafrost Thaw","date":[2025,2,19,14,20,40,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://eos.org/research-spotlights/alaskas-lakes-and-ponds-reveal-effects-of-permafrost-thaw&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw27e2UhGAs-ZmX-8ArzgNpL","source":"eos.org","summary":"As climate change warms the Arctic, permafrost is thawing, and carbon trapped within the soil is moving into the atmosphere. Permafrost stores twice as much carbon as the atmosphere, but the degree to which this frozen carbon will thaw and accelerate ...","tags":["Science"],"type":"news"},{"title":"Coming Up February 21 - 27 | Las Cruces Bulletin","date":[2025,2,19,17,13,35,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=http://www.lascrucesbulletin.com/stories/coming-up-february-21-27,107437&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw34poJIEVy1gxtB8gITMNiW","source":"www.lascrucesbulletin.com","summary":"Astronomy Friends of the Parks, 6 p.m. at Rockhound State Park, 9880 Stirrup Rd. SE., Deming. Info: 575-546-6182. Book Launch Party for George ...","tags":["Astronomy"],"type":"news"},{"title":"The Battle of the AI Agent Frameworks - Delphi Digital","date":[2025,2,19,18,10,5,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://members.delphidigital.io/reports/the-battle-of-the-ai-agent-frameworks&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw2lVYxj0OtNuO8oBEwc9DRk","source":"members.delphidigital.io","summary":"Interestingly, these obvious tailwinds are at odds with the vicious web3 agent framework selloff: many dumping as much as 80 – 90% in the last 60 days ...","tags":["Web3"],"type":"news"},{"title":"NodeOps is an alternative to Web3-native infrastructure providers and traditional cloud services","date":[2025,2,19,17,48,42,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://zycrypto.com/nodeops-is-an-alternative-to-web3-native-infrastructure-providers-and-traditional-cloud-services-messari/&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw3n1Wpw-E16hHM0CaJ15Jml","source":"zycrypto.com","summary":"Because NodeOps Network is also backed by AVS, which integrates protocols like EigenLayer, it will provide an extra level of security.","tags":["Web3"],"type":"news"},{"title":"Earth had new, temporary radiation rings last year","date":[2025,2,19,14,6,10,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.sciencenews.org/article/earth-temporary-radiation-rings&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw1Ckn7qjkggA1DSjmandrIS","source":"www.sciencenews.org","summary":"An illustration of the Earth on a space background with two lobes of colors extending on. The May 2024 solar storm made two new radiation belts (purple) that slotted in between the permanent Van Allen belts (other colors) around Earth.","tags":["Science"],"type":"news"},{"title":"We Asked AI What's The Best Crypto Wallet For Web3 - 99Bitcoins","date":[2025,2,19,17,27,50,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://99bitcoins.com/news/we-asked-ai-whats-the-best-crypto-wallet-for-web3/&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw2wuarJJ8_WrxHhWT8dhRUO","source":"99bitcoins.com","summary":"What's the best crypto wallet in 2025? In this article discover Best Wallet ($BEST) a new Web3 presale that just crushed $10M raised.","tags":["Web3"],"type":"news"},{"title":"MassRobotics joins 2025 Robotics Summit & Expo as strategic partner - The Robot Report","date":[2025,2,19,16,26,15,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.therobotreport.com/massrobotics-joins-2025-robotics-summit-expo-as-strategic-partner/&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw1ybbAu7j7nDDIbxHdGaZdc","source":"www.therobotreport.com","summary":"MassRobotics' participation in the Robotics Summit includes the Form & Function Robotics Challenge, a career fair, and more.","tags":["Robotics"],"type":"news"},{"title":"Coinsilium Group Limited: Exercise of Warrants - WebDisclosure","date":[2025,2,19,17,12,36,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.webdisclosure.com/press-release/coinsilium-group-limited-exercise-of-warrants-gyluVG2xjir&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw38nJGedOR4rAG8sTFOsKn4","source":"www.webdisclosure.com","summary":"London, UK, 19 February 2024 - Coinsilium Group Limited (AQSE: COIN) (OTCQB: CINGF), the Web3 investor, advisor, and venture builder announces ...","tags":["Web3"],"type":"news"},{"title":"Ontology Unveils 2025 Roadmap: The Foundation for Every Web3 Innovation","date":[2025,2,19,16,49,56,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://blockchainreporter.net/ontology-unveils-2025-roadmap-the-foundation-for-every-web3-innovation-2/&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw1Ndm7a7zzdx8mMSCOhm44k","source":"blockchainreporter.net","summary":"Ontology's 2025 roadmap boosts privacy-first messaging, blockchain interoperability, and real-world Web3 applications for secure, user-controlled ...","tags":["Web3"],"type":"news"},{"title":"Astronomers reveal 3D structure of an alien planet's atmosphere - Reuters","date":[2025,2,19,17,13,25,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.reuters.com/science/astronomers-reveal-3d-structure-an-alien-planets-atmosphere-2025-02-19/&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw1Cg3WGxzyUBqiWNm2V7cej","source":"www.reuters.com","summary":"Astronomers for the first time have deciphered the three-dimensional structure of the atmosphere of a planet beyond our solar system, ...","tags":["Astronomy"],"type":"news"},{"title":"The Forces Driving Web3 Adoption - Moody's","date":[2025,2,19,16,27,36,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.moodys.com/web/en/us/about/insights/podcasts/moodys-talks-focus-on-finance/the-forces-driving-web3-adoption.html&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw1Chu3ZUeLKzGRbDnNGSZZt","source":"www.moodys.com","summary":"We talk to Animoca Brands about digital innovation, stablecoins, and how collaborations among institutions, companies and regulators are pushing Web3 ...","tags":["Web3"],"type":"news"},{"title":"Shake Shack expands robotic sidewalk delivery to new metro area | Chain Store Age","date":[2025,2,19,16,25,22,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://chainstoreage.com/shake-shack-expands-robotic-sidewalk-delivery-new-metro-area&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw1X5xWLKTJls-G3paPmyYbO","source":"chainstoreage.com","summary":"A quick serve hamburger chain is rolling out a partnership with Uber Eats and Serve Robotics beyond Los Angeles.","tags":["Robotics"],"type":"news"},{"title":"Spread of Dark Algae Could Hasten Melt of Greenland Ice Sheet","date":[2025,2,19,14,4,15,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://e360.yale.edu/digest/greenland-ice-sheet-dark-algae&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw2GBezSHrMI1xbMC3-Xi1nF","source":"e360.yale.edu","summary":"Dark algae are spreading across the Greenland ice sheet as snow cover retreats. Their dark color causes ice to absorb more heat from the sun, accelerating melting, and according to a new study, the harsh conditions on the ice sheet will do little to ...","tags":["Science"],"type":"news"},{"title":"Bitget Wallet Integrates Monad Testnet to Expand DeFi - GlobeNewswire","date":[2025,2,19,15,56,58,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.globenewswire.com/news-release/2025/02/19/3028964/0/en/Bitget-Wallet-Integrates-Monad-Testnet-to-Expand-DeFi-Capabilities.html&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw3pH3wygwuhlALHEuTHyXxf","source":"www.globenewswire.com","summary":"Bitget Wallet, a leading Web3 non-custodial wallet, has officially integrated support for Monad Testnet, a high-performance EVM-compatible Layer 1 ...","tags":["Web3"],"type":"news"},{"title":"Post Play-to-Earn, Web3 Gaming Is More Sustainable and Much More Fun - Crypto Daily","date":[2025,2,19,15,54,31,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://cryptodaily.co.uk/2025/02/post-play-to-earn-web3-gaming-is-more-sustainable-and-much-more-fun&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw3hHs7YoaPW4EYxC2-3wnq0","source":"cryptodaily.co.uk","summary":"If web3 gaming were a game, it would be somewhere around level five right now, having effortlessly dispensed with all the low-grade baddies, ...","tags":["Hardware","Web3"],"type":"news"},{"title":"Arkansas Tech University robotics team eyes world championship return with new sponsor","date":[2025,2,19,15,52,39,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://katv.com/news/local/arkansas-tech-university-robotics-team-eyes-world-championship-return-with-new-sponsor&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw2oTysQc0sbuEHVWlinNjjv","source":"katv.com","summary":"The Arkansas Tech University (ATU) robotics team is gearing up for a potential return to the VEX U Robotics World Championship.","tags":["Robotics"],"type":"news"},{"title":"Astronomers spot flares of light near the black hole at the center of our galaxy | CNN","date":[2025,2,19,17,5,30,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.cnn.com/2025/02/19/science/milky-way-black-hole-flickers-webb/index.html&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw0ZPJVyN8eTI5IG2QQfmK7F","source":"www.cnn.com","summary":"The James Webb Space Telescope has shown that the Milky Way's black hole is constantly blazing with light, releasing long flares as well as short ...","tags":["Astronomy"],"type":"news"},{"title":"Nvidia Stock Investors Got Amazing Robotics News | The Motley Fool","date":[2025,2,19,15,50,34,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.fool.com/investing/2025/02/19/nvidia-stock-investors-got-amazing-robotics-news/&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw19GYeLBYYGCfrqAB3EGWjz","source":"www.fool.com","summary":"Nvidia could benefit from the growth of robotics. In today's video, I discuss Nvidia (NVDA -0.01%) and recent updates affecting ...","tags":["Robotics"],"type":"news"},{"title":"Scientists Think Visitors From Another Star System May Have Infiltrated Our Galactic Neighborhood","date":[2025,2,19,14,2,20,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.popularmechanics.com/science/a63800767/alpha-centauri-particles/&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw3tzG0cmENeJmDWVNQrXsnJ","source":"www.popularmechanics.com","summary":"Alpha Centauri is the star system closest to our Solar System, and it is likely that particles from it could be making their way over to or already be in our stellar neighborhood. To know what to expect, researchers used existing models to predict how ...","tags":["Science"],"type":"news"},{"title":"Data-driven techniques and robotics are among key trends in O&M - PV Tech","date":[2025,2,19,15,47,14,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.pv-tech.org/data-driven-techniques-robotics-key-trends-om/&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw0jMo3NWXCqpseD5BEWphPx","source":"www.pv-tech.org","summary":"SolarPower Europe highlighted the use of data-driven techniques, industry 4.0 solutions and robotics as key trends in O&M for PV plants.","tags":["Robotics"],"type":"news"},{"title":"How The World's Largest Cryptocurrency Can Secure The Future Of Web3. A Deep Dive Into ...","date":[2025,2,19,15,15,29,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://coincodex.com/article/63372/how-the-worlds-largest-cryptocurrency-can-secure-the-future-of-web3-a-deep-dive-into-the-matter/&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw2mm6k9zeCNYsRWEfz63T5m","source":"coincodex.com","summary":"Explore how the world's largest cryptocurrency can shape and secure the future of Web3. Dive deep into key insights, innovations, ...","tags":["Blockchain","Web3"],"type":"news"},{"title":"Intermediate Black Hole Candid [IMAGE] | EurekAlert! Science News Releases","date":[2025,2,19,16,16,44,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.eurekalert.org/multimedia/1060676&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw0zpzLZSlh1xZuqHVvnHTsM","source":"www.eurekalert.org","summary":"Association of Universities for Research in Astronomy (AURA) ... /Space sciences/Astronomy/Celestial bodies/Galaxies/Galactic nuclei/Active galactic ...","tags":["Astronomy"],"type":"news"},{"title":"Google's AI co-scientist could enhance research, say Imperial researchers","date":[2025,2,19,13,58,39,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.imperial.ac.uk/news/261293/googles-ai-co-scientist-could-enhance-research/&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw1BpOUvGOfHpEsJdqrr3uri","source":"www.imperial.ac.uk","summary":"An unreleased system designed to assist researchers has the potential to “supercharge science”, according to Imperial researchers. A partnership between Imperial, the Fleming Initiative, and technology giant Google gave scientists access to a powerful ...","tags":["Science"],"type":"news"},{"title":"'Dead' Galaxy Cluster Is Making Stars Again And Astronomers Don't Know Why","date":[2025,2,19,16,10,49,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.sciencealert.com/dead-galaxy-cluster-is-making-stars-again-and-astronomers-dont-know-why&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw2zvgyQ2n_QSA2PBOw0EZid","source":"www.sciencealert.com","summary":"The Phoenix Cluster is one of the most massive galaxy clusters known. Astronomers have identified 42 member galaxies so far, yet there could be as ...","tags":["Astronomy"],"type":"news"},{"title":"Council Post: Web3: The Next Digital Frontier - Forbes","date":[2025,2,19,14,32,2,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.forbes.com/councils/forbesbusinesscouncil/2025/02/19/web3-the-next-digital-frontier/&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw1vpUyg_58U9Ny6ddmrXcyI","source":"www.forbes.com","summary":"... Web3 stands at the center of this shift. As the founder of a Web3 company focused on financial inclusion and an investor on various Web3 projects ...","tags":["Web3"],"type":"news"},{"title":"Origami-inspired soft robotic arms could assist wheelchair users - IMechE","date":[2025,2,19,15,37,39,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.imeche.org/news/news-article/origami-inspired-soft-robotic-arms-could-assist-wheelchair-users&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw2_HgSSbP6kygGYKVpe5pon","source":"www.imeche.org","summary":"A lightweight and flexible robotic arm could enable wheelchair users to grasp, lift and carry objects that would otherwise be out of reach.","tags":["Robotics"],"type":"news"},{"title":"Ep 33 — Scaling the Ethereum Civilisation with Brother Bing - Substack","date":[2025,2,19,14,21,35,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://substack.com/home/post/p-157459894%3Futm_campaign%3Dpost%26utm_medium%3Dweb&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw1byb16o5UNrJINSt86iSv1","source":"substack.com","summary":"Ep 31 - Web3 Marketing Playbook with Phin from Abstract. Jan 30 • Saurabh Deshpande. Ep 30- The Encrypted Supercomputer with Yannik from Arcium. Jan ...","tags":["Web3"],"type":"news"},{"title":"DESI uncovers 300 new intermediate-mass black | EurekAlert!","date":[2025,2,19,16,2,48,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.eurekalert.org/news-releases/1073878&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw0KzjrGeBuanvsoge44w9E7","source":"www.eurekalert.org","summary":"... Astronomy and Space Science Institute; Korea Institute for Advanced Study; Lawrence Berkeley National Laboratory; Laboratoire de Physique ...","tags":["Astronomy"],"type":"news"},{"title":"Council Post: Eight Key Elements To Getting Funding For Your Web3 Startup - Forbes","date":[2025,2,19,14,8,56,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.forbes.com/councils/forbesbusinesscouncil/2025/02/19/eight-key-elements-to-getting-funding-for-your-web3-startup/&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw1Ikp9gl-v359x-q8_fgM7y","source":"www.forbes.com","summary":"Hinza Asif, President, Asia Web3 Alliance Japan & NFTStudio24. Founder at BlockZa, a decentralized media platform fusing Blockchain and AI.","tags":["Web3"],"type":"news"},{"title":"JPL-Managed Space Mission Set To Unveil Universe's Secrets","date":[2025,2,19,13,48,57,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://pasadenanow.com/main/jpl-managed-space-mission-set-to-unveil-universes-secrets&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw2h-WiExmd4aqpP4ToyjL5D","source":"pasadenanow.com","summary":"NASA's Jet Propulsion Laboratory in Pasadena will mark another milestone in space exploration the SPHEREx space telescope heads into space after its scheduled launch on February 27. The mission, managed by JPL, will investigate the origins of the ...","tags":["Science"],"type":"news"},{"title":"SuperGaming signs up for web3 expansion with B3 - BlockChainGamer","date":[2025,2,19,14,6,2,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.blockchaingamer.biz/news/37327/supergaming-b3/&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw3MJZGUoyYkqMwwvG5D3FT4","source":"www.blockchaingamer.biz","summary":"“B3's technology makes it easy for us to bring our games onto the blockchain, giving us the amazing opportunity to serve our web2 and web3 players,” ...","tags":["Web3"],"type":"news"},{"title":"Serve Robotics is coming to Miami - Restaurant Dive","date":[2025,2,19,15,28,34,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.restaurantdive.com/news/serve-robotics-miami-robot-delivery/740285/&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw1Bsvmpn4Bnad-_tjUvvY4o","source":"www.restaurantdive.com","summary":"Serve will offer delivery through Uber Eats from Shake Shack and a local pizza chain in Brickell and Miami Beach, Florida. ... A Serve Robotics robot in ...","tags":["Robotics"],"type":"news"},{"title":"Webb Telescope sees flares from Sagittarius A* | BBC Sky at Night Magazine","date":[2025,2,19,15,48,15,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.skyatnightmagazine.com/space-science/news/webb-telescope-sees-flares-from-sagittarius-a&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw1e0vQJgqVgHnzEXMjm_sh4","source":"www.skyatnightmagazine.com","summary":"The James Webb Space Telescope has given astronomers an unprecedented view of the supermassive black hole at the centre of our Galaxy, ...","tags":["Astronomy"],"type":"news"},{"title":"Graze Robotics unveils Graze360 full-service landscaping platform","date":[2025,2,19,15,23,43,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.totallandscapecare.com/technology/article/15737763/graze-robotics-unveils-graze360-fullservice-landscaping-platform&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw2wqflBOFxZjjCgGzJRrOP7","source":"www.totallandscapecare.com","summary":"The platform, combining artificial intelligence (AI), robotics, and skilled human labor, offers a full-service solution with guaranteed outcomes, ...","tags":["Robotics"],"type":"news"},{"title":"What life on Mars would probably look like – and it's not little green men","date":[2025,2,19,13,9,13,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.independent.co.uk/space/mars-life-alien-curiosity-rovers-b2700745.html&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw1CcGjADi-3hplXSBQRRXMw","source":"www.independent.co.uk","summary":"Since humans started dreaming about Martians, scientific understanding has changed significantly. The most recent vehicles to have traversed the Red Planet's surface – the Perseverance and Curiosity rovers – have identified compounds and minerals that ...","tags":["Science"],"type":"news"},{"title":"Powering BNB and Beyond: Trust Wallet's Role in the Multi-Chain Web3 Era | The Block","date":[2025,2,19,14,4,49,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.theblock.co/post/341525/powering-bnb-and-beyond&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw0KFvKKkXgkHNURXdItC0O1","source":"www.theblock.co","summary":"With over 190 million users, Trust Wallet offers a secure, multi-chain Web3 hub, supporting over 100 blockchains while enhancing access to the ...","tags":["Web3"],"type":"news"},{"title":"MIT scientists to help track the asteroid that could hit Earth in 2032","date":[2025,2,19,13,6,20,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.nbcboston.com/news/local/bostons-big-idea/mit-scientists-to-help-track-the-asteroid-that-could-hit-earth-in-2032/3635564/&ct=ga&cd=CAIyGjhkNWEwOGZjMjBkZTUxYzc6Y29tOmVuOlVT&usg=AOvVaw1VOBfUzjVAlMUEv9ywZkaS","source":"www.nbcboston.com","summary":"With a newly-discovered asteroid in the spotlight for its potential to collide with Earth in 2032, scientists at MIT are discussing with NBC10 Boston their new asteroid-detecting method that will be used to help track 2024 YR4.","tags":["Science"],"type":"news"},{"title":"Serve Robotics stock surges on Miami expansion - Investing.com","date":[2025,2,19,14,54,57,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.investing.com/news/stock-market-news/serve-robotics-stock-surges-on-miami-expansion-93CH-3877663&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw3kvUFFKrhIGgoN_MPNn0tK","source":"www.investing.com","summary":"Investing.com -- Serve Robotics Inc. (NASDAQ:SRVB) shares soared by 14% on Wednesday following the announcement that the autonomous delivery ...","tags":["Robotics"],"type":"news"},{"title":"Astronomers spot flares of light near the black hole at the center of our galaxy - WHDH","date":[2025,2,19,15,33,7,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://whdh.com/news/astronomers-spot-flares-of-light-near-the-black-hole-at-the-center-of-our-galaxy/&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw1QDFNyPUmNZs3eDL5A1W0D","source":"whdh.com","summary":"Astronomers believe the flares are coming from the inner edge of the accretion disk just beyond the black hole's event horizon, or the area around a ...","tags":["Astronomy"],"type":"news"},{"title":"XDC Network Successfully Concludes XDC Connect 2.0-Web3 Connect Mumbai","date":[2025,2,19,14,2,29,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.theglobeandmail.com/investing/markets/markets-news/Newsfile/31001891/xdc-network-successfully-concludes-xdc-connect-20-web3-connect-mumbai/&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw09LSsEHtSKMCpU22yaVSvt","source":"www.theglobeandmail.com","summary":"... Web3 OGs.The XDC Connect 2.0—Web3 Connect Mumbai brought together the brightest minds from the Web3 ecosystem, marking a significant step in ...","tags":["Web3"],"type":"news"},{"title":"Humanoid robots bust dance moves alongside humans | Fox News","date":[2025,2,19,14,50,58,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.foxnews.com/tech/humanoid-robots-bust-dance-moves-alongside-humans&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw2N5aJB9evP-GEJBsRcAzgS","source":"www.foxnews.com","summary":"Unitree H1 robots dance at gala, blending AI and tradition. Tech expert Kurt “CyberGuy\" Knutsson examines the convergence of cutting-edge ...","tags":["Robotics","AI"],"type":"news"},{"title":"On the eve of HashKey Chain \"Web3 Voyage\": Global Web3 OGs gather in Hong Kong","date":[2025,2,19,13,56,26,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.panewslab.com/en/sqarticledetails/58mnf7lj.html&ct=ga&cd=CAIyGmMzYzkyNGI4Mjk4Mzg4ZGQ6Y29tOmVuOlVT&usg=AOvVaw2ghfkey8BgKLSSogLYTMOr","source":"www.panewslab.com","summary":"On February 19, the countdown to the \"Web3 Voyage\" conference hosted by HashKey Chain and co-hosted by AWS and ATT was one day.","tags":["Cloud","Web3"],"type":"news"},{"title":"Is human hibernation for long-duration space travel possible? - Astronomy Magazine","date":[2025,2,19,15,31,23,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.astronomy.com/space-exploration/is-human-hibernation-for-long-duration-space-travel-possible/&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw1fq6SnFB2S7lme51tiWHyu","source":"www.astronomy.com","summary":"If astronauts could slow their metabolic rate drastically, they could potentially “sleep” through long voyages between the stars.","tags":["Astronomy"],"type":"news"},{"title":"AYRO Launches Robotics Division Focused on AI-Driven Automated Manufacturing of High ...","date":[2025,2,19,14,49,52,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.stocktitan.net/news/AYRO/ayro-launches-robotics-division-focused-on-ai-driven-automated-uhgbmn6uisyo.html&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw11g3fE77oR755HZ1y7xsL0","source":"www.stocktitan.net","summary":"AYRO launches AI-powered robotics division for advanced EV manufacturing, securing initial purchase order for precision robotic assembly of ...","tags":["Robotics"],"type":"news"},{"title":"Bioluminescence and a sparkling night sky voted best Astronomy Photographer image by the public","date":[2025,2,19,15,4,49,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.skyatnightmagazine.com/news/astronomy-photographer-year-peoples-choice-winner-2024&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw0-Ziwd1iUyogQdSIVZLMbm","source":"www.skyatnightmagazine.com","summary":"This is 'Like Blue Lava' by Petr Horalek, which has been announced as the winner of the Astronomy Photographer of the Year 2024 People's Choice Award.","tags":["Astronomy"],"type":"news"},{"title":"Serve Robotics (SERV) a “Great Buying Opportunity” after Recent Sell-off, says Top ... - TipRanks","date":[2025,2,19,14,45,20,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.tipranks.com/news/serve-robotics-serv-a-great-buying-opportunity-after-recent-sell-off-says-top-northland-securities-analyst&ct=ga&cd=CAIyGmIzYzQ0OGEzZDNmMDIxMTk6Y29tOmVuOlVT&usg=AOvVaw1KSy3bdueLz6WSOecXwrtF","source":"www.tipranks.com","summary":"NorthlandSecurities analyst Michael Latimorereiterated a Buy rating on Serve Robotics ($SERV) stock. The bullish rating comes despite Nvidia's ...","tags":["Robotics"],"type":"news"},{"title":"Earth had new, temporary radiation rings last year - Science News","date":[2025,2,19,15,4,41,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.sciencenews.org/article/earth-temporary-radiation-rings&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw1Ckn7qjkggA1DSjmandrIS","source":"www.sciencenews.org","summary":"Lisa Grossman is the astronomy writer. She has a degree in astronomy from Cornell University and a graduate certificate in science writing from ...","tags":["Astronomy"],"type":"news"},{"title":"Queens Brian May & Gibson collaborate on new acoustic guitar celebrating his passion for ...","date":[2025,2,19,12,53,25,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.deltaplexnews.com/queens-brian-may-gibson-collaborate-on-new-acoustic-guitar-celebrating-his-passion-for-astronomy/&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw3ErpOf6PuE5pNsUfodyVmd","source":"www.deltaplexnews.com","summary":"... astronomy by including […]","tags":["Astronomy"],"type":"news"},{"title":"Jeddah Astronomy Society: Last Quarter Moon of Shaban Observed at Midnight","date":[2025,2,19,12,34,27,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.spa.gov.sa/en/N2265916&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw2neFwEMviHfkVX1rwHH-rB","source":"www.spa.gov.sa","summary":"... Astronomy Society Director Eng. Majed Abu Zahra. According to him, the moon reaches its last quarter phase on Thursday at 8:32 pm Makkah time, as ...","tags":["Astronomy"],"type":"news"},{"title":"Astronomy Photographer of the Year Reveals the 2024 People's Choice. Your Photos Can Be Next","date":[2025,2,19,11,16,25,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.diyphotography.net/astronomy-photographer-of-the-year-2024-peoples-choice/&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw1fqLWtIApXe5Y23Lu7gFNs","source":"www.diyphotography.net","summary":"Meanwhile, the People's Choice Award has already crowned its winner. Like Blue Lava, a stunning photo by Petr Horalek, takes the first prize. It ...","tags":["Astronomy"],"type":"news"},{"title":"Are Astronomers About to Gain the Highest Status in Society? | by Avi Loeb - Medium","date":[2025,2,19,11,13,4,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://medium.com/%40avi-loeb/are-astronomers-about-to-gain-the-highest-status-in-society-d672f319d382&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw0NmjXtxMU22TnbssFpqclh","source":"medium.com","summary":"NASA has just increased the likelihood that the asteroid 2024 YR4 will hit the Earth on December 22, 2032 to 3.1%! This asteroid is estimated to ...","tags":["Astronomy"],"type":"news"},{"title":"Queen's Brian May & Gibson collaborate on new acoustic guitar celebrating his passion for ...","date":[2025,2,19,10,56,51,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://ruralradio.com/kbear/abc_news/queens-brian-may-amp-gibson-collaborate-on-new-acoustic-guitar-celebrating-his-passion-for-astronomy-abcid9e75f636/&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw0yNevThqgylPKPNYD_RDXB","source":"ruralradio.com","summary":"Queen's Brian May & Gibson collaborate on new acoustic guitar celebrating his passion for astronomy. Gibson TV. 481K subscribers. Brian May Gibson SJ ...","tags":["Astronomy"],"type":"news"},{"title":"Black Hole Flares, Simultaneous Rocket Launches, and New Life Horizons: S04E43 - iHeart","date":[2025,2,19,10,35,17,2,50,0],"link":"https://www.google.com/url?rct=j&sa=t&url=https://www.iheart.com/podcast/53-astronomy-daily-space-news-101268099/episode/black-hole-flares-simultaneous-rocket-launches-268501793/&ct=ga&cd=CAIyGjNlZDg5NTNkM2ViNjU2NTk6Y29tOmVuOlVT&usg=AOvVaw1Rb6vgp2wlX1jm4UPSuNc1","source":"www.iheart.com","summary":"Astronomy Daily - The Podcast: S04E43 In this episode of Astronomy Daily, host Anna guides you through a captivating array of discoveries and ...","tags":["Astronomy"],"type":"news"},{"title":"Linux Foundation Newsletter: February 2025","author":"andrewb@proximabiz.com (The Linux Foundation)","date":[2025,2,19,16,34,35,2,50,0],"link":"https://www.linuxfoundation.org/blog/linux-foundation-newsletter-february-2025","source":"Linux Foundation","summary":"

The February 2025 edition of the Linux Foundation Newsletter is out, highlighting various projects and initiatives within the organization.
The newsletter covers announcements from the Linux Foundation, including its intent to form a Coalition for Smarter Buildings, which aims to develop open standards and software for building automation and real estate applications.
It also discusses a new initiative with OpenSSF to help navigate EU Cyber Resilience Act (CRA) and global cybersecurity regulations.
Additionally, it touches on project milestones, such as the release of PyTorch 2.6, and upcoming events like KubeCon + CloudNativeCon Europe and Embedded World.
Furthermore, the newsletter features various updates from Linux Foundation projects, including Automotive Grade Linux, Open Mainframe Project, and Zephyr Project, highlighting their achievements and plans for 2025.

","tags":["Linux Foundation","Open Source Software","Cybersecurity","PyTorch","Kubernetes","Cloud Native","Embedded Systems"],"type":"blog"},{"title":"GitHub Copilot for Azure DevOps users","author":"Dan Hellem","date":[2025,2,19,19,56,4,2,50,0],"link":"https://devblogs.microsoft.com/devops/github-copilot-for-azure-devops-users","source":"Microsoft Devblogs","summary":"

GitHub Copilot is a tool that helps developers write code faster and avoid mistakes.
As an Azure DevOps customer, you already have access to its powerful features through tools like Visual Studio and VS Code.
With Copilot, you can get code completions, debugging help, and even generate boilerplate code for new projects.
It also integrates with Azure Repos, automating commit messages and pull request descriptions to make development smoother and more efficient.

","tags":["GitHub","Copilot","Azure DevOps","AI-powered coding assistance","code completions"],"type":"blog"},{"title":"Introducing Muse: Our first generative AI model designed for gameplay ideation","author":"Alyssa Hughes (2ADAPTIVE LLC dba 2A Consulting)","date":[2025,2,19,16,5,46,2,50,0],"link":"https://www.microsoft.com/en-us/research/blog/introducing-muse-our-first-generative-ai-model-designed-for-gameplay-ideation/","source":"Microsoft Research","summary":"

Researchers have created a new artificial intelligence (AI) system called 'Muse' that can generate game visuals and controller actions like a human player.
This AI model, called WHAM, is trained on data from the Xbox game Bleeding Edge and can create complex gameplay sequences that are consistent over several minutes.
The team behind Muse hopes to use this technology to support human creators in making new games and experiences.
They're releasing their research and open-sourcing the weights and sample data so that other researchers can build on their work and explore its potential.

","tags":["Generative AI","Artificial Intelligence","Game Development","Machine Learning","Microsoft Research"],"type":"blog"},{"title":"Amazon Redshift announces history mode for zero-ETL integrations to simplify historical data tracking and analysis","author":"Raks Khare","date":[2025,2,18,21,13,23,1,49,0],"link":"https://aws.amazon.com/blogs/big-data/amazon-redshift-announces-history-mode-for-zero-etl-integrations-to-simplify-historical-data-tracking-and-analysis/","source":"AWS Big Data","summary":"

AWS has introduced zero-ETL integration, which simplifies the process of extracting, transforming, and loading data into Amazon Redshift.
This feature minimizes the need to build ETL pipelines and allows for near real-time data replication and analysis.
To further enhance this capability, AWS has added a new feature called history mode, which enables tracking every version of records in source tables directly in Amazon Redshift.
This includes changes such as updates, inserts, and deletes, making it easier to comply with regulatory requirements for maintaining historical records and facilitating comprehensive data governance.

","tags":["Zero-ETL","AWS","Amazon Redshift","Data Integration","History Mode"],"type":"blog"},{"title":"Best practices for Amazon SageMaker HyperPod task governance","author":"Nisha Nadkarni","date":[2025,2,19,17,28,4,2,50,0],"link":"https://aws.amazon.com/blogs/machine-learning/best-practices-for-amazon-sagemaker-hyperpod-task-governance/","source":"AWS Machine Learning","summary":"

Amazon SageMaker HyperPod now supports running generative AI development tasks on shared accelerated compute resources through Amazon Elastic Kubernetes Service (EKS).
This innovation reduces costs by up to 40% and allows administrators to govern allocation of compute resources among teams, making it easier for organizations to focus on accelerating their generative AI innovation.
To get started, administrators need to set up compute allocations, fair-share weights, and quota management, while data scientists require access control and permissions to submit tasks to corresponding namespaces.

","tags":["Amazon SageMaker","HyperPod","Generative AI","Accelerated Compute Resources"],"type":"blog"},{"title":"Private capital: Investors’ cautious stance in 2024 may give way to a more aggressive approach","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/private-capital-investors-cautious-stance-in-2024-may-give-way-to-a-more-aggressive-approach","source":"Mckinsey","summary":"

The private capital market has seen fluctuations in deal volumes and values over the past few years, but it's expected to recover soon due to increasing pressure from investors to deploy their reserves of dry powder.
Private capital firms have been active in various industries, with technology, media, and telecommunications leading the way.
As geopolitical dynamics change, private capital firms will need to adapt and invest in sectors associated with innovation and competitiveness.

","tags":["Private Capital Market","Mergers and Acquisitions (M&A)","Investment Trends"],"type":"blog"},{"title":"VisitBritain: Extracting Timely Insights on Traveler Sentiment","author":"Databricks","date":[2025,2,18,20,0,0,1,49,0],"link":"https://www.databricks.com/blog/visitbritain-extracting-timely-insights-traveler-sentiment","source":"Databricks","summary":"

VisitBritain is a website that helps people plan their trip to the UK by providing information and recommendations.

","tags":["Tourism","Travel Planning"],"type":"blog"},{"title":"How to use OCI images as the source of truth for continuous delivery","author":"Daniel Helfand","date":[2025,2,19,0,0,0,2,50,0],"link":"https://about.gitlab.com/blog/2025/02/19/how-to-use-oci-images-as-the-source-of-truth-for-continuous-delivery","source":"Gitlab","summary":"

To automate deployments and signing verification for your microservice's environments, you can use GitLab and Flux CD.
This involves generating public and private keys with Cosign, configuring Flux CD to sync from your GitLab project, and creating custom resource definitions (CRDs) in Kubernetes.
You also need to set up a namespace, sealed secret, and OCI repository for secure key storage and image verification.

","tags":["GitOps","OCI","GitLab","Flux CD"],"type":"blog"},{"title":"Certificate-based Kubernetes integration sunsetting on GitLab.com","author":"Viktor Nagy","date":[2025,2,17,0,0,0,0,48,0],"link":"https://about.gitlab.com/blog/2025/02/17/certificate-based-kubernetes-integration-sunsetting-on-gitlab-com","source":"Gitlab","summary":"

GitLab is changing how it interacts with Kubernetes clusters to improve security and functionality.
To prepare, you should check if you're affected, plan a migration timeline, and start by testing non-production environments before moving to production workloads.

","tags":["Kubernetes","DevOps","Security","Infrastructure","GitLab"],"type":"blog"},{"title":"Use Lens to search your screen while you browse on iOS","author":"Nick Kim Sexton","date":[2025,2,19,17,0,0,2,50,0],"link":"https://blog.google/products/google-lens/lens-on-ios-ai-overviews/","source":"Google Chrome","summary":"

Google is adding new features to its Google Lens feature, which lets you search for things on your screen using your smartphone camera or the Google app and Chrome browser on iOS.

","tags":["Google Lens","AI Overviews"],"type":"blog"},{"title":"Dozens of new mobile apps are coming to cars with Google built-in.","author":"Vivek Radhakrishnan","date":[2025,2,19,16,0,0,2,50,0],"link":"https://blog.google/feed/mobile-apps-cars-google-built-in/","source":"Android","summary":"

Starting this week, people who own cars with Google built-in will get access to many new apps they can use when their car is parked.

","tags":["Google","Cars","Mobile Apps"],"type":"blog"},{"title":"Telcos Dial Up AI: NVIDIA Survey Unveils Industry’s AI Trends","author":"Ronnie Vasishta","date":[2025,2,19,14,0,20,2,50,0],"link":"https://blogs.nvidia.com/blog/ai-telcos-survey-2025/","source":"Nvidia","summary":"

Researchers are working on 6G technology, with many focusing on using artificial intelligence (AI) to improve cell tower performance and make it more efficient.
At the same time, telecom companies are starting to use AI to create new services for customers, such as generating content like images or text.
Many of these companies plan to offer these AI services to their customers in the future.

","tags":["6G","Artificial Intelligence","Telecommunications"],"type":"blog"},{"title":"LLM-Powered Proactive Data Systems","date":[2025,2,18,16,34,45,1,49,0],"link":"http://arxiv.org/abs/2502.13016v1","summary":"

Currently, data systems use LLMs as black boxes to process user inputs and data without truly understanding what's being asked or how it should be done.
Instead of just doing what they're told, these systems need to be proactive, able to parse and rewrite user inputs and data to make decisions about how to represent and process the information most efficiently and effectively.

","source":"ArXiv Databases","tags":["LLMs","Data Systems","Proactive Processing"],"type":"research"},{"title":"Multimodal Mamba: Decoder-only Multimodal State Space Model via\n Quadratic to Linear Distillation","date":[2025,2,18,18,59,57,1,49,0],"link":"http://arxiv.org/abs/2502.13145v1","summary":"

Researchers have created a new system called mmMamba that helps large language models work more efficiently by reducing their computational complexity and memory usage.
This is achieved through a process of learning from existing models, allowing the creation of faster and more memory-friendly models without sacrificing performance.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Multimodal Language Models","Artificial Intelligence","Computational Complexity"],"type":"research"},{"title":"SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and\n Object Manipulation","date":[2025,2,18,18,59,2,1,49,0],"link":"http://arxiv.org/abs/2502.13143v1","summary":"

Researchers have found a way to help robots better understand their environment by using natural language to describe the orientation of objects.
This allows robots to perform tasks more accurately, such as picking up objects and placing them in specific locations.

","source":"ArXiv AI","tags":["Embodied AI","Robotics","Natural Language Processing"],"type":"research"},{"title":"Improving Algorithmic Efficiency using Cryptography","date":[2025,2,18,17,8,59,1,49,0],"link":"http://arxiv.org/abs/2502.13065v1","summary":"

Researchers have found a way to use cryptography to make certain computer problems solve faster without losing accuracy.
They created special matrices that look random, but can be multiplied with other numbers quickly if you know a secret code.
This allows existing algorithms that rely on these matrices to run much faster while still giving correct results.

","source":"ArXiv DSA","tags":["cryptography","computational complexity","matrix multiplication"],"type":"research"},{"title":"Investigating Issues that Lead to Code Technical Debt in Machine\n Learning Systems","date":[2025,2,18,16,30,38,1,49,0],"link":"http://arxiv.org/abs/2502.13011v1","summary":"

Technical debt in machine learning systems is like having unpaid bills that will come back to haunt us later.
It's when we take shortcuts or do things wrong, which makes our code hard to maintain and expensive to fix.
Researchers identified common issues in the process of collecting data, creating models, and evaluating them.
These problems can be fixed with sustainable solutions instead of quick fixes, making it easier for others to work on the project later.

","source":"ArXiv Software Engineering","tags":["Technical Debt","Machine Learning","Software Engineering"],"type":"research"},{"title":"Rust in time! Announcing the Azure SDK for Rust Beta. 🎉","author":"Ronnie Geraghty","date":[2025,2,19,18,19,5,2,50,0],"link":"https://devblogs.microsoft.com/azure-sdk/rust-in-time-announcing-the-azure-sdk-for-rust-beta","source":"Microsoft Devblogs","summary":"

The Azure team has released beta versions of their official SDK for the programming language Rust, making it easier for developers to work with Azure services like Identity, Key Vault, Event Hubs, and Cosmos DB.
Rust is a popular choice due to its performance, reliability, and memory safety features, which help prevent common coding errors and make it a pleasure to work with.

","tags":["Azure SDK","Rust Programming Language","Cloud Computing","Microsoft Azure"],"type":"blog"},{"title":"Ideas: Quantum computing redefined with Chetan Nayak","author":"Alyssa Hughes (2ADAPTIVE LLC dba 2A Consulting)","date":[2025,2,19,16,4,49,2,50,0],"link":"https://www.microsoft.com/en-us/research/podcast/ideas-quantum-computing-redefined-with-chetan-nayak/","source":"Microsoft Research","summary":"

Dr. Chetan Nayak, a technical fellow at Microsoft Quantum, is working to revolutionize quantum computing by developing a new type of computer called Majorana 1.
This computer uses topological qubits, which are more stable and reliable than traditional qubits.
Dr. Nayak's team has made significant progress in creating these qubits, including demonstrating a fundamental operation for a scalable topological quantum computer.
They have also developed a material that can be used to create topological superconductors, which are essential for the new type of qubit.
The goal is to create a fault-tolerant quantum computer that can solve complex problems that are currently unsolvable by classical computers.

","tags":["Quantum Computing","Topological Qubits","Majorana 1","Microsoft Quantum"],"type":"blog"},{"title":"Streamline AWS WAF log analysis with Apache Iceberg and Amazon Data Firehose","author":"Charishma Makineni","date":[2025,2,18,21,12,39,1,49,0],"link":"https://aws.amazon.com/blogs/big-data/streamline-aws-waf-log-analysis-with-apache-iceberg-and-amazon-data-firehose/","source":"AWS Big Data","summary":"

Organizations are expanding their digital presence by using web applications to serve customers better, but this expansion creates security risks.
To mitigate these risks, AWS WAF logs play a crucial role in monitoring security, enforcing compliance, and strengthening application defense.
By adopting modern approaches that combine real-time monitoring with scalable data analytics, organizations can optimize their security operations.
Amazon Data Firehose provides real-time data delivery to Apache Iceberg tables within seconds, simplifying the process of streaming AWS WAF logs into a data lake while minimizing operational overhead.

","tags":["AWS WAF","Apache Iceberg","Amazon S3","Data Lake","Security Analytics"],"type":"blog"},{"title":"How Formula 1® uses generative AI to accelerate race-day issue resolution","author":"Carlos Contreras","date":[2025,2,18,21,8,58,1,49,0],"link":"https://aws.amazon.com/blogs/machine-learning/how-formula-1-uses-generative-ai-to-accelerate-race-day-issue-resolution/","source":"AWS Machine Learning","summary":"

Formula 1 teams use Amazon's technology to create an artificial intelligence assistant to help them quickly fix problems during races.
This AI tool is like a super smart assistant that can ask questions, look at data from different places, and give answers within seconds.
It helps the teams save time by reducing the time it takes to fix issues from over a day to just 20 minutes.
With this tool, the teams can focus on other important tasks and make the racing experience even better.

","tags":["Artificial Intelligence","Formula 1","Amazon Web Services","Problem Solving","Machine Learning"],"type":"blog"},{"title":"Using Amazon Rekognition to improve bicycle safety","author":"Mike George","date":[2025,2,17,16,51,45,0,48,0],"link":"https://aws.amazon.com/blogs/machine-learning/using-amazon-rekognition-to-improve-bicycle-safety/","source":"AWS Machine Learning","summary":"

A safety solution has been developed for cyclists using Amazon Rekognition video analysis to detect close calls with vehicles on the road.
When a cyclist records their ride, the system analyzes the video to identify if any vehicles passed too closely and generates short clips of these encounters.
These clips can be shared with authorities to help improve road safety.
The solution involves uploading the video to an S3 bucket, processing it using Amazon Rekognition, and then creating snippets of video that show close calls.
This technology aims to reduce the risk of accidents for cyclists by providing evidence of dangerous driving.

","tags":["Amazon Rekognition","Computer Vision","Serverless Video Processing","Road Safety","Cyclist Safety"],"type":"blog"},{"title":"Life sciences: Primed for an increase","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/life-sciences-primed-for-an-increase","source":"Mckinsey","summary":"

The life science industry is expecting an increase in mergers and acquisitions (M&A) activity in 2025, driven by improved economic conditions, favorable regulations, and companies needing to strengthen their pipelines.
Companies with robust M&A capabilities will be well-positioned to capitalize on emerging opportunities.
This growth is expected due to pent-up demand, a widening performance gap between top performers and laggers, and a decline in revenues for companies holding assets that are set to lose exclusivity.

","tags":["Mergers and Acquisitions","Life Science Industry","Biotechnology","Pharmaceuticals","Private Equity"],"type":"blog"},{"title":"R You Ready? Unlocking Databricks for R Users in 2025","author":"Databricks","date":[2025,2,18,20,0,0,1,49,0],"link":"https://www.databricks.com/blog/r-you-ready-unlocking-databricks-r-users-2025","source":"Databricks","summary":"

Databricks has released some helpful tools and guides for people using the programming language R, including a detailed guide for developers.

","tags":["R","Databricks","Developer Guide"],"type":"blog"},{"title":"Announcing Automatic Identity Management for Azure Databricks","author":"Databricks","date":[2025,2,18,19,0,0,1,49,0],"link":"https://www.databricks.com/blog/announcing-automatic-identity-management-azure-databricks","source":"Databricks","summary":"

A dashboard is a visual tool used to display data and metrics in an easy-to-read format, allowing users to quickly understand complex information and make informed decisions.

","tags":["dashboards","data visualization"],"type":"blog"},{"title":"DeepResonance: Enhancing Multimodal Music Understanding via\n Music-centric Multi-way Instruction Tuning","date":[2025,2,18,8,9,42,1,49,0],"link":"http://arxiv.org/abs/2502.12623v1","summary":"

Researchers have improved computers' ability to understand music by teaching them to look at pictures, videos, and even written music notes along with what they hear.
They created a new computer program called DeepResonance that combines all these things together to better understand music.
This new system is the best at understanding music so far and can be used for many different tasks.

","source":"ArXiv Multimedia","tags":["music-understanding","large-language-models","multimodal-processing"],"type":"research"},{"title":"Near-Optimal Private Learning in Linear Contextual Bandits","date":[2025,2,18,18,35,24,1,49,0],"link":"http://arxiv.org/abs/2502.13115v1","summary":"

We're trying to solve a problem with how computers learn new things without revealing their own thoughts or data.
Our solution uses a new way of looking at old information, which helps us make better decisions more efficiently and still keep the computer's secrets safe.

","source":"ArXiv Cryptography & Security","tags":["Artificial Intelligence","Machine Learning","Data Privacy"],"type":"research"},{"title":"Personalized Top-k Set Queries Over Predicted Scores","date":[2025,2,18,16,19,8,1,49,0],"link":"http://arxiv.org/abs/2502.12998v1","summary":"

This study explores how to use powerful computer systems, like large language models, to quickly find the most relevant answers from complex data.
The research proposes a system that works with any type of scoring function and helps identify the most important questions to ask these powerful systems so they can give accurate results without wasting too much time or resources.

","source":"ArXiv Databases","tags":["Probabilistic Model","Large Language Models","Scoring Functions","Efficiency Optimization"],"type":"research"},{"title":"Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct\n Preference Optimization","date":[2025,2,18,18,59,57,1,49,0],"link":"http://arxiv.org/abs/2502.13146v1","summary":"

A new approach called Re-Align is being used to improve how computers understand images and text together.
This method helps reduce mistakes, or 'hallucinations', when machines try to answer questions about what's in an image.
The goal of Re-Align is to make it more accurate for computers to use both visual and text information to understand the world around us.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Large Language Models","Vision Language Models","Cross-modal Applications","Direct Preference Optimization"],"type":"research"},{"title":"Pre-training Auto-regressive Robotic Models with 4D Representations","date":[2025,2,18,18,59,1,1,49,0],"link":"http://arxiv.org/abs/2502.13142v1","summary":"

Researchers have created a new robotic model called ARM4R, which uses data from videos of humans to help robots learn how to move around more efficiently.
This is an important step forward for robotics because it allows them to use pre-trained models like those that are successful in natural language and computer vision, rather than having to start from scratch.

","source":"ArXiv AI","tags":["Artificial Intelligence","Robotics","Machine Learning"],"type":"research"},{"title":"Smoothed Analysis of Dynamic Graph Algorithms","date":[2025,2,18,16,26,56,1,49,0],"link":"http://arxiv.org/abs/2502.13007v1","summary":"

Researchers have been trying to figure out when it's really necessary for computer algorithms to take a long time to process certain types of data, versus when this is just a rare and unusual case.
They've developed new techniques to study this, including a framework called smoothed analysis which takes into account both the intentional attempts to make the algorithm fail and random noise in the data.
This has helped them understand better how different algorithms perform under various conditions and identify problems that are easy or hard even with small amounts of 'noise'.

","source":"ArXiv DSA","tags":["Dynamic Graph Algorithms","Smoothed Analysis","Computer Science"],"type":"research"},{"title":"Identifying Bug Inducing Commits by Combining Fault Localisation and\n Code Change Histories","date":[2025,2,18,15,2,22,1,49,0],"link":"http://arxiv.org/abs/2502.12922v1","summary":"

A Bug Inducing Commit (BIC) is a change to code that causes problems later on.
Finding out which commit caused the problem can help fix it, but current methods have limitations.
A new technique called Fonte tries to identify BICs by looking at recent changes to the code and what parts of the code might be causing the issue.

","source":"ArXiv Software Engineering","tags":["Bug Inducing Commit","Code Analysis","Software Development","Debugging"],"type":"research"},{"title":"Announcing Chroma DB C# SDK","author":"Luis Quintanilla","date":[2025,2,19,18,5,0,2,50,0],"link":"https://devblogs.microsoft.com/dotnet/announcing-chroma-db-csharp-sdk","source":"Microsoft Devblogs","summary":"

The Chroma C# SDK is an open-source database for AI applications that allows you to store embeddings, metadata, and perform vector searches.
With this SDK, you can easily integrate Chroma into your .NET application to enable features like semantic search and Retrieval Augmented Generation (RAG).
It provides a simple way to connect to the database, create collections, add data, and query it using vector search.

","tags":["Chroma",".NET","AI","Database","Vector Search"],"type":"blog"},{"title":"Retain, integrate, thrive: A strategy for managing talent during M&A transactions","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/retain-integrate-thrive-a-strategy-for-managing-talent-during-m-and-a-transactions","source":"Mckinsey","summary":"

When companies merge or get acquired, they often face a problem: keeping their best employees on board.
This is especially true for employees who are skilled and have valuable expertise.
If these top performers leave, the company may struggle to achieve its goals and create value from the deal.
To avoid this, leaders need to think about how to keep their best employees engaged and motivated throughout the merger process.
This means communicating clearly with them, empowering managers to make decisions, and identifying key metrics to track progress.
By taking these steps, companies can retain their top talent and set themselves up for long-term success.

","tags":["Mergers and Acquisitions","Talent Retention","Employee Engagement","Leadership","Communication"],"type":"blog"},{"title":"Alabama Power Company leverages Databricks for Outage and Storm Modeling","author":"Databricks","date":[2025,2,18,1,0,0,1,49,0],"link":"https://www.databricks.com/blog/alabama-power-company-leverages-databricks-outage-and-storm-modeling","source":"Databricks","summary":"

As we move forward, using information to make informed choices is more important than ever.

","tags":["data-driven decision making"],"type":"blog"},{"title":"Introducing the DLT Sink API: Write Pipelines to Kafka and External Delta Tables","author":"Databricks","date":[2025,2,17,17,0,0,0,48,0],"link":"https://www.databricks.com/blog/introducing-dlt-sink-api-write-pipelines-kafka-and-external-delta-tables","source":"Databricks","summary":"

If you're just starting out with Delta Live Tables, it's best to read our 'Getting Started' guide first.
This will give you a solid foundation before diving into this material.

","tags":["Delta Live Tables","Big Data"],"type":"blog"},{"title":"SEA: Low-Resource Safety Alignment for Multimodal Large Language Models\n via Synthetic Embeddings","date":[2025,2,18,5,57,35,1,49,0],"link":"http://arxiv.org/abs/2502.12562v1","summary":"

Researchers have found that large language models have security problems when dealing with pictures, videos, or audio files.
To fix this issue, they created a new method called Synthetic Embedding augmented safety Alignment (SEA).
This method helps make these models safer by learning from existing text data and can even work on regular computers without needing expensive hardware.

","source":"ArXiv Multimedia","tags":["Multimodal Large Language Models","Synthetic Embedding augmented safety Alignment","Security Risks in AI","Machine Learning Security"],"type":"research"},{"title":"Variable Read Disturbance: An Experimental Analysis of Temporal\n Variation in DRAM Read Disturbance","date":[2025,2,18,17,22,42,1,49,0],"link":"http://arxiv.org/abs/2502.13075v1","summary":"

The problem with modern DRAM chips is that they are prone to errors called read disturbance errors, which happen when one part of the chip influences another.
To prevent these errors, we need to know how sensitive each row of the chip is to interference, but research has shown that this sensitivity can change unexpectedly over time.
This makes it difficult to accurately identify and protect against these errors, which could compromise the security of our computer systems.

","source":"ArXiv Cryptography & Security","tags":["DRAM","memory technology","security vulnerabilities"],"type":"research"},{"title":"Preventing the Popular Item Embedding Based Attack in Federated\n Recommendations","date":[2025,2,18,15,43,14,1,49,0],"link":"http://arxiv.org/abs/2502.12958v1","summary":"

A new type of attack called PIECK has been developed to target federated recommender systems (FRS).
These systems create personalized recommendations by analyzing data from multiple users, but they can be vulnerable to manipulation.
PIECK is different from other attacks because it doesn't require specific knowledge or models to work, making it a more practical threat.
The attack works by identifying popular items and then manipulating the system to make those items seem even more appealing.
To defend against this type of attack, researchers have proposed a new method that adds extra rules during training to prevent the manipulation of item popularity.

","source":"ArXiv Databases","tags":["Federated Recommender Systems","Data Manipulation","Artificial Intelligence Security"],"type":"research"},{"title":"RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based\n Reinforcement Learning","date":[2025,2,18,18,59,21,1,49,0],"link":"http://arxiv.org/abs/2502.13144v1","summary":"

Researchers have created a new way for self-driving cars to learn how to drive safely, called Reinforcement Learning with a digital replica of the real world.
This method allows the car's computer to practice driving in different situations and learn from its mistakes, which helps it to understand cause-and-effect relationships and make better decisions when something unexpected happens.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Autonomous Driving","Reinforcement Learning","Artificial Intelligence","Computer Vision"],"type":"research"},{"title":"UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor\n Attacks and Adversarial Attacks in Large Language Models","date":[2025,2,18,18,59,0,1,49,0],"link":"http://arxiv.org/abs/2502.13141v1","summary":"

Large Language Models are vulnerable to certain types of attacks that can manipulate them into producing harmful outputs.
To address this, researchers have created a new defense system called UniGuardian that can detect these attacks and prevent them from happening.

","source":"ArXiv AI","tags":["Large Language Models","Artificial Intelligence Security","Machine Learning Attacks"],"type":"research"},{"title":"Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied\n Edges","date":[2025,2,18,16,20,50,1,49,0],"link":"http://arxiv.org/abs/2502.13000v1","summary":"

Researchers are working on a way to group objects together based on how they interact with each other.
They want to find the best way to color these objects so that they match up correctly, and have made progress in finding new ways to do this, even when there are many interactions between objects.

","source":"ArXiv DSA","tags":["Graph Theory","Clustering Algorithms","Optimization Problems"],"type":"research"},{"title":"Toward Cybersecurity Testing and Monitoring of IoT Ecosystems","date":[2025,2,18,13,10,47,1,49,0],"link":"http://arxiv.org/abs/2502.12837v1","summary":"

To improve cybersecurity for devices connected to the internet (IoT), researchers have created a framework and tools that help test and monitor these devices.
This approach addresses previous challenges by providing an integrated way to use different tools together, supporting automated testing, storing important data securely, and allowing devices and systems to communicate effectively.

","source":"ArXiv Software Engineering","tags":["Cybersecurity","IoT","Frameworks","Monitoring","Testing"],"type":"research"},{"title":"Introducing Code Referencing for GitHub Copilot Completions in Visual Studio","author":"Simona Liao","date":[2025,2,19,16,40,8,2,50,0],"link":"https://devblogs.microsoft.com/visualstudio/introducing-code-referencing-for-github-copilot-completions-in-visual-studio","source":"Microsoft Devblogs","summary":"

GitHub Copilot now provides more transparency when suggesting code completions by showing where the code comes from and if it matches public code.
This means you'll get a notification when a suggested completion matches code from a public repository, and you can choose to view details about the match and decide what to do with the code.

","tags":["GitHub Copilot","Code Completions","Public Code Matching","License Issues"],"type":"blog"},{"title":"Technology, media, and telecommunications: Software deals and creative partnerships will carry the day","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/technology-media-and-telecommunications-software-deals-and-creative-partnerships-will-carry-the-day","source":"Mckinsey","summary":"

The technology, media, and telecommunications (TMT) sector saw a lot of mergers and acquisitions (M&A) activity in 2024.
In 2025, this trend is expected to continue due to several factors such as increased cost pressures, new technologies emerging, and changing regulations.
The technology subsector will likely drive most deals by volume and value, with companies focusing on doubling down on market leadership, pursuing capital-expenditure-fueled growth, acquiring bolt-on capabilities, and rising presence of private equity (PE) in tech.
In the media subsector, separations, consolidation, and creative partnerships are expected to be key drivers, while telecommunications operators will focus on consolidation, new revenue sources, and emphasizing their core businesses.

","tags":["Mergers and Acquisitions","Technology, Media, and Telecommunications (TMT)","Private Equity (PE)","Market Leadership","Capital-Expenditure-Fueled Growth"],"type":"blog"},{"title":"A Comprehensive Survey on Generative AI for Video-to-Music Generation","date":[2025,2,18,3,18,54,1,49,0],"link":"http://arxiv.org/abs/2502.12489v1","summary":"

A new paper reviews how artificial intelligence is used to turn videos into music, focusing on three important parts: getting information from video visuals, creating music, and using conditions to help with this process.

","source":"ArXiv Multimedia","tags":["Artificial Intelligence","Video-to-Music Generation","Deep Learning"],"type":"research"},{"title":"Token Communications: A Unified Framework for Cross-modal Context-aware\n Semantic Communications","date":[2025,2,17,18,14,18,0,48,0],"link":"http://arxiv.org/abs/2502.12096v1","summary":"

This paper proposes a new way to send information called token communications (TokCom), which uses a combination of text and images to make data transmission more efficient.
It builds on recent advances in artificial intelligence and large language models, and has the potential to increase bandwidth by 70.8% without losing quality.

","source":"ArXiv Multimedia","tags":["Token Communications","Artificial Intelligence","Data Transmission","Bandwidth Efficiency"],"type":"research"},{"title":"Can't See the Forest for the Trees: Benchmarking Multimodal Safety\n Awareness for Multimodal LLMs","date":[2025,2,16,16,12,40,6,47,0],"link":"http://arxiv.org/abs/2502.11184v1","summary":"

Researchers have created a new test, called MMSafeAware, to check if artificial intelligence models (like those used for language translation and text generation) are safe when dealing with both text and images.
The test found that these models often make mistakes and get too sensitive, which can lead to them incorrectly identifying safe content as unsafe or vice versa.

","source":"ArXiv Multimedia","tags":["Multimodal Large Language Models","Artificial Intelligence Safety","Machine Learning Benchmarks"],"type":"research"},{"title":"ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering\n without Font Annotations","date":[2025,2,16,5,30,18,6,47,0],"link":"http://arxiv.org/abs/2502.10999v1","summary":"

Researchers have found a way to improve how computers recognize and display text from images, allowing users to control the font and language used without needing special labels or annotations.

","source":"ArXiv Multimedia","tags":["Deep Learning","Image Processing","Artificial Intelligence","Computer Vision"],"type":"research"},{"title":"REAL: Realism Evaluation of Text-to-Image Generation Models for\n Effective Data Augmentation","date":[2025,2,15,4,0,43,5,46,0],"link":"http://arxiv.org/abs/2502.10663v1","summary":"

Researchers have developed a new way to evaluate how realistic images are when generated from text descriptions.
This is important because current methods only check if the image matches what was described, but not if it looks real.
The new method, called REAL, checks three things: small details, unusual relationships between objects, and the overall style of the image.
It helps make sure that these generated images are good enough to use in tasks like identifying objects or understanding visual connections.

","source":"ArXiv Multimedia","tags":["Text-to-Image Generation","Artificial Intelligence","Machine Learning","Computer Vision"],"type":"research"},{"title":"Sublinear-Overhead Secure Linear Algebra on a Dishonest Server","date":[2025,2,18,17,5,17,1,49,0],"link":"http://arxiv.org/abs/2502.13060v1","summary":"

The main concern is doing big calculations on servers owned by someone else, which raises questions about keeping our data private.
To address this issue, we're looking for ways to do these calculations without revealing the data, while also making sure they happen quickly and securely.
This is especially important for a type of calculation called linear algebra, which is often done on specialized computers that can only be accessed through the cloud.

","source":"ArXiv Cryptography & Security","tags":["Data Privacy","Cloud Computing","Homomorphic Encryption","Linear Algebra","Algorithm Efficiency"],"type":"research"},{"title":"Query Rewriting via LLMs","date":[2025,2,18,14,59,37,1,49,0],"link":"http://arxiv.org/abs/2502.12918v1","summary":"

Researchers are trying to make it easier for computers to understand complex requests by using artificial intelligence.
They've created a system called LITHE, which uses this technology to transform hard-to-understand requests into simpler ones.
This makes the computer run faster and helps people who work on these systems better understand what they're doing.

","source":"ArXiv Databases","tags":["Query Rewriting","SQL Queries","Artificial Intelligence","Database Systems"],"type":"research"},{"title":"AV-Flow: Transforming Text to Audio-Visual Human-like Interactions","date":[2025,2,18,18,56,18,1,49,0],"link":"http://arxiv.org/abs/2502.13133v1","summary":"

We've created a computer model called AV-Flow that can turn text into realistic, moving images of people talking.
It can generate the sound and movements of their face and body in sync, so it looks like they're really speaking.
This technology has the potential to create more lifelike digital characters for things like video games or virtual assistants.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Generative Model","Artificial Intelligence","Computer Vision","Speech Synthesis"],"type":"research"},{"title":"AIDE: AI-Driven Exploration in the Space of Code","date":[2025,2,18,18,57,21,1,49,0],"link":"http://arxiv.org/abs/2502.13138v1","summary":"

Machine learning has greatly improved the world, but creating these improvements is often time-consuming and repetitive.
A new tool called AI-Driven Exploration (AIDE) uses big language models to help with this process, making it more efficient and effective, leading to better results in machine learning engineering.

","source":"ArXiv AI","tags":["machine-learning","artificial-intelligence","ai-driven-exploration"],"type":"research"},{"title":"Approximate Tree Completion and Learning-Augmented Algorithms for Metric\n Minimum Spanning Trees","date":[2025,2,18,16,13,46,1,49,0],"link":"http://arxiv.org/abs/2502.12993v1","summary":"

Researchers have developed a new way to find a minimum spanning tree (a special kind of connected network) for many points in space, which is an important problem in machine learning and data analysis.
Their approach involves first breaking down the complex network into smaller, disconnected parts and then finding only the most crucial connections between these parts.
This new method can solve the problem much faster than previous methods while still getting very close to the best possible solution.

","source":"ArXiv DSA","tags":["Minimum Spanning Tree","Machine Learning","Network Optimization"],"type":"research"},{"title":"TREND: A Whitespace Replacement Information Hiding Method","date":[2025,2,18,10,21,27,1,49,0],"link":"http://arxiv.org/abs/2502.12710v1","summary":"

Large Language Models (LLMs) have become very good at writing text that's almost indistinguishable from what a human writes.
To help figure out if a piece of text was written by an LLM or a person, researchers came up with a technique called TREND.
This method hides information inside the text without changing its meaning and makes it hard for humans to notice.

","source":"ArXiv Software Engineering","tags":["Large Language Models","Digital Watermarking","Steganography","Information Hiding"],"type":"research"},{"title":"Introducing the Adaptive Cards documentation hub and new Adaptive Cards updates","author":"Swarathmika Kakivaya","date":[2025,2,19,16,11,42,2,50,0],"link":"https://devblogs.microsoft.com/microsoft365dev/introducing-the-adaptive-cards-documentation-hub-and-new-adaptive-cards-updates","source":"Microsoft Devblogs","summary":"

Conversational agents and bots use Adaptive Cards to create interactive experiences that go beyond plain text, helping to drive productivity and streamline workflows.
A new documentation hub has been introduced to help users learn and design rich experiences for apps like Microsoft Teams, Copilot, and Outlook.

","tags":["conversational-agents","adaptive-cards","productivity","workflow-streamlining"],"type":"blog"},{"title":"Consumer goods: Seeking market expansion and growth","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/consumer-goods-seeking-market-expansion-and-growth","source":"Mckinsey","summary":"

The consumer-packaged-goods (CPG) industry has faced many challenges since 2012, including inflation, market saturation, and changing consumer tastes.
To overcome these issues, companies have started to focus on strategic mergers and acquisitions (M&A), such as acquiring higher-growth brands and entering new markets.
This more measured approach has led to significant deals in recent years, like Mars's acquisition of Kellanova.
Experts predict that 2025 will be an active year for CPG deals, with both strategic and financial buyers looking to take advantage of opportunities.

","tags":["Mergers and Acquisitions","Consumer-Packaged-Goods Industry","Market Trends"],"type":"blog"},{"title":"LAMD: Context-driven Android Malware Detection and Classification with\n LLMs","date":[2025,2,18,17,1,37,1,49,0],"link":"http://arxiv.org/abs/2502.13055v1","summary":"

As mobile apps grow in number, so do threats like Android malware.
Traditional methods of detecting this often struggle to keep up with new attacks and don't explain how they work.
A promising alternative uses large language models (LLMs) to detect malware, but applying them is tricky due to complex app codes and structures.
To solve this, researchers developed LAMD, a framework that helps LLMs focus on key parts of the code, analyze it step by step, and provide clear explanations for its decisions.

","source":"ArXiv Cryptography & Security","tags":["Android Malware","Large Language Models","Code Analysis","Machine Learning"],"type":"research"},{"title":"Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL\n Generation","date":[2025,2,18,14,53,45,1,49,0],"link":"http://arxiv.org/abs/2502.12911v1","summary":"

Researchers created a new method called Knapsack optimization-based Schema Linking Agent (KaSLA) to help computers better understand and link relevant parts of a database when generating SQL code from user queries.
This method is more accurate than previous methods because it prevents missing important information while avoiding unnecessary extra details.

","source":"ArXiv Databases","tags":["Natural Language Processing","Database Systems","Artificial Intelligence","SQL Generation","Schema Linking"],"type":"research"},{"title":"Magma: A Foundation Model for Multimodal AI Agents","date":[2025,2,18,18,55,21,1,49,0],"link":"http://arxiv.org/abs/2502.13130v1","summary":"

Magma is a new type of artificial intelligence (AI) system that can understand and interact with both digital and physical worlds.
It's like a super smart assistant that can read, learn, and even take actions in the world around us, such as navigating websites or controlling robots.
Magma was trained on a huge amount of data from various sources, including images, videos, and robotics information, to help it understand how objects move and interact with each other.
This allows Magma to perform tasks more efficiently than previous AI systems and is an important step towards creating more intelligent machines.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Artificial Intelligence","Machine Learning","Multimodal Systems"],"type":"research"},{"title":"Theorem Prover as a Judge for Synthetic Data Generation","date":[2025,2,18,18,57,9,1,49,0],"link":"http://arxiv.org/abs/2502.13137v1","summary":"

There's been an increase in demand for synthetic data to help improve math skills in computers, but it's hard to make sure these computer systems are using correct math steps.
To solve this problem, researchers created new methods: one that makes math proofs more accurate and another that uses a special judge to check if the math steps are correct.
By testing these methods, they were able to improve how well computers do math with only a small number of examples.

","source":"ArXiv AI","tags":["Synthetic Data","Mathematical Reasoning","Artificial Intelligence","Machine Learning"],"type":"research"},{"title":"On the Complexity of Minimising the Moving Distance for Dispersing\n Objects","date":[2025,2,18,14,45,23,1,49,0],"link":"http://arxiv.org/abs/2502.12903v1","summary":"

Researchers are studying a way to measure how different two graphs are, called Geometric Graph Edit Distance (GGED).
They've developed an algorithm that can change one graph into another by moving objects around in a way that takes the shortest distance possible.
This helps make certain types of graphs simpler by removing edges or making them easier to understand.

","source":"ArXiv DSA","tags":["Graph Theory","Algorithms","Geometric Graph Edit Distance"],"type":"research"},{"title":"EquiBench: Benchmarking Code Reasoning Capabilities of Large Language\n Models via Equivalence Checking","date":[2025,2,18,2,54,25,1,49,0],"link":"http://arxiv.org/abs/2502.12466v1","summary":"

Equivalence checking is a way to figure out if two computer programs do the same thing for any input.
This is useful in many areas, such as improving code, testing it, and making it run faster.
A group of researchers created a test set called EquiBench with thousands of pairs of programs that are similar but not exactly the same.
They used this test to see how well large language models can understand and reason about code, and found that while some models did well, most still have room for improvement.

","source":"ArXiv Software Engineering","tags":["Equivalence Checking","Code Reasoning","Artificial Intelligence","Computer Science"],"type":"research"},{"title":"MSVC C++ Code Analysis: Updates in Visual Studio 2022 version 17.13","author":"Carson Radtke","date":[2025,2,19,15,14,30,2,50,0],"link":"https://devblogs.microsoft.com/cppblog/msvc-c-code-analysis-updates-in-visual-studio-2022-version-17-13","source":"Microsoft Devblogs","summary":"

The C++ team has updated Code Analysis in Visual Studio to make it safer and more reliable.
They focused on reducing false positives and improving security warnings to detect high-impact vulnerabilities.
The update includes better analysis of concurrency, numerical overflows, and uninitialized objects that could lead to memory corruption.
This will help developers catch potential issues before they become problems.

","tags":["C++","Code Analysis","Visual Studio","Security Warnings"],"type":"blog"},{"title":"Dealmaking through challenges: Lessons from the automotive industry","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/dealmaking-through-challenges-lessons-from-the-automotive-industry","source":"Mckinsey","summary":"

The automotive industry is facing challenges due to technological changes and shifting regulations, making mergers and acquisitions (M&A) difficult for some companies.
However, despite these obstacles, deals are still being made through creative solutions like expanding the universe of potential buyers, transforming businesses before selling them, telling a more tailored story to attract specific buyers, getting proactive on alternative financing methods, and considering alternative transaction structures.

","tags":["mergers-and-acquisitions","automotive-industry","technological-change","strategic-partnerships"],"type":"blog"},{"title":"Does Training with Synthetic Data Truly Protect Privacy?","date":[2025,2,18,15,56,52,1,49,0],"link":"http://arxiv.org/abs/2502.12976v1","summary":"

Researchers are studying different ways to use synthetic data for machine learning, which is often claimed to protect the original data's privacy.
However, they found that these methods have varying levels of effectiveness and may give people a false sense of security if not carefully evaluated.

","source":"ArXiv Cryptography & Security","tags":["Synthetic Data","Machine Learning","Data Privacy"],"type":"research"},{"title":"Graph Neural Networks for Databases: A Survey","date":[2025,2,18,14,51,50,1,49,0],"link":"http://arxiv.org/abs/2502.12908v1","summary":"

Researchers have found that graph neural networks (GNNs) can be very helpful when working with databases, but they need to understand how these networks can make database systems better.
So, this study looks at how GNNs are used in two main areas: relational databases and graph databases, and it identifies ways that GNNs can improve the way databases work.

","source":"ArXiv Databases","tags":["Graph Neural Networks","Database Systems","Artificial Intelligence"],"type":"research"},{"title":"SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL","date":[2025,2,17,12,28,11,0,48,0],"link":"http://arxiv.org/abs/2502.11741v1","summary":"

The Text-to-SQL task is about turning spoken language into SQL queries that a computer can execute.
To make this process better, researchers created a new method called SQL-o1, which helps large language models learn how to create good SQL queries by using search techniques and understanding the structure of databases.

","source":"ArXiv Databases","tags":["Text-to-SQL","Large Language Models","SQL Query Generation","Database Schemas"],"type":"research"},{"title":"Uncovering the Impact of Chain-of-Thought Reasoning for Direct\n Preference Optimization: Lessons from Text-to-SQL","date":[2025,2,17,10,47,17,0,48,0],"link":"http://arxiv.org/abs/2502.11656v1","summary":"

Researchers found out why Direct Preference Optimization (DPO) doesn't work well for Text-to-SQL tasks - it's because these tasks don't include step-by-step solutions, making it hard for DPO to improve performance.
To fix this, they added synthetic step-by-step solutions and it worked! This discovery helps us build better models that can understand complex SQL queries.

","source":"ArXiv Databases","tags":["Direct Preference Optimization","Text-to-SQL","Chain-of-Thought reasoning"],"type":"research"},{"title":"Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking\n Approach","date":[2025,2,17,8,43,49,0,48,0],"link":"http://arxiv.org/abs/2502.11557v1","summary":"

When comparing two graphs to see how similar they are, we need to find the biggest part of both graphs that looks the same.
Most algorithms for this task either work well in theory but not in practice, or vice versa.
Our new algorithm, called RRSplit, is a balance between being fast and having guarantees on its performance, making it a significant improvement over existing methods.

","source":"ArXiv Databases","tags":["Graph Theory","Algorithms","Data Analysis"],"type":"research"},{"title":"Towards Responsible and Fair Data Science: Resource Allocation for\n Inclusive and Sustainable Analytics","date":[2025,2,17,5,33,50,0,48,0],"link":"http://arxiv.org/abs/2502.11459v1","summary":"

This project is trying to make sure data science practices are fair and consider the needs of everyone, not just a few powerful companies.
It's looking at ways to allocate resources better, so that everyone has an equal chance to participate and benefit from technology.

","source":"ArXiv Databases","tags":["Data Science","Fairness in AI","Sustainable Technology"],"type":"research"},{"title":"Dialogue-based Explanations for Logical Reasoning using Structured\n Argumentation","date":[2025,2,16,22,26,18,6,47,0],"link":"http://arxiv.org/abs/2502.11291v1","summary":"

Artificial Intelligence researchers have been trying to improve how they explain inconsistent or conflicting information in knowledge bases.
They identified some weaknesses in current methods and created a new approach that uses argumentation, which allows for more expressive explanations of why certain information is true despite the conflicts.

","source":"ArXiv Databases","tags":["Artificial Intelligence","Knowledge Bases","Argumentation"],"type":"research"},{"title":"Generating Skyline Datasets for Data Science Models","date":[2025,2,16,20,33,59,6,47,0],"link":"http://arxiv.org/abs/2502.11262v1","summary":"

Preparing good quality data is very important for AI and machine learning models to work well.
Current methods of finding this data often focus on one way of measuring quality, which can lead to problems later on.
This paper introduces a new way called MODis that finds the best data by considering multiple ways of measuring how well it will perform in different tasks.

","source":"ArXiv Databases","tags":["Data Science","Machine Learning"],"type":"research"},{"title":"Is Noise Conditioning Necessary for Denoising Generative Models?","date":[2025,2,18,18,53,24,1,49,0],"link":"http://arxiv.org/abs/2502.13129v1","summary":"

Researchers are questioning whether something called 'noise conditioning' is really necessary for certain types of computer models to work well.
They found that without this noise conditioning, some of these models actually performed better and were less affected by errors.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Deep Learning","Computer Vision","Generative Models"],"type":"research"},{"title":"Sleepless Nights, Sugary Days: Creating Synthetic Users with Health\n Conditions for Realistic Coaching Agent Interactions","date":[2025,2,18,18,56,44,1,49,0],"link":"http://arxiv.org/abs/2502.13135v1","summary":"

Researchers created a new way to make fake users interact with health coaches so we can test how well the coaches work.
These fake users are based on real people's behaviors, like sleep and diabetes management, which makes them act more realistically than usual fake users.
This helps developers create better health coaches by letting them practice with these realistic interactions.

","source":"ArXiv AI","tags":["Artificial Intelligence","Synthetic Users","Health Coaching","Conversational Agents"],"type":"research"},{"title":"Finding Maximum Weight 2-Packing Sets on Arbitrary Graphs","date":[2025,2,18,13,43,49,1,49,0],"link":"http://arxiv.org/abs/2502.12856v1","summary":"

The Maximum Weight 2-Packing Set problem is about finding the most valuable group of points (or nodes) in a network where no two points are connected and they don't share any neighbors, making it difficult to solve efficiently.
Researchers have developed new ways to approach this complex problem, using techniques from independent sets to speed up solving time and improve solution quality.

","source":"ArXiv DSA","tags":["maximum weight 2-packing set","independent sets","network optimization"],"type":"research"},{"title":"NeuroStrata: Harnessing Neurosymbolic Paradigms for Improved Design,\n Testability, and Verifiability of Autonomous CPS","date":[2025,2,17,19,7,41,0,48,0],"link":"http://arxiv.org/abs/2502.12267v1","summary":"

Autonomous cyber-physical systems use AI to control things like robots or self-driving cars, but it's hard to make them work safely because there's always some uncertainty involved.
A new approach called neurosymbolic is being explored to make these systems more predictable and reliable.

","source":"ArXiv Software Engineering","tags":["artificial intelligence","cyber-physical systems","neurosymbolic paradigm"],"type":"research"},{"title":"C++/WinRT implementation inheritance: Notes on winrt::implements, part 1","author":"Raymond Chen","date":[2025,2,19,15,0,0,2,50,0],"link":"https://devblogs.microsoft.com/oldnewthing/20250219-00/?p=110889","source":"Microsoft Devblogs","summary":"

When implementing Windows Runtime objects, you use the winrt::implements template to create a structure with specific interfaces.
However, only the first interface is used, and others are ignored unless specified explicitly.
This means if you write struct MockMemoryBuffer : winrt::implements<MockMemoryBuffer, winrt::Windows::Foundation::IMemoryBuffer>, you're actually implementing just the IMemoryBuffer interface, not all of MemoryBuffer.
To be clear, you should specify each required interface individually.

","tags":["Windows Runtime","winrt::implements template","interface implementation"],"type":"blog"},{"title":"Global energy and materials: Overall deal value remains stable, but some segments are gaining share","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/global-energy-and-materials-overall-deal-value-remains-stable-but-some-segments-are-gaining-share","source":"Mckinsey","summary":"

In the global energy and materials sector, merger and acquisition (M&A) activity was relatively low in 2024 due to caution among companies.
However, experts predict an increase in M&A deals in 2025 as factors such as lower interest rates and increased investment opportunities come into play.
Companies are expected to focus on smaller deals aimed at consolidation rather than large-scale acquisitions.
This trend is driven by the need for energy and materials companies to adapt to changing market conditions, including the shift towards renewable energy sources and the impact of geopolitics and macroeconomics.

","tags":["Mergers_and_Acquisitions","Energy_Sector","Materials_Sector","Renewable_Energy","Geopolitics"],"type":"blog"},{"title":"The Early Days of the Ethereum Blob Fee Market and Lessons Learnt","date":[2025,2,18,15,47,49,1,49,0],"link":"http://arxiv.org/abs/2502.12966v1","summary":"

Ethereum is trying to improve its speed by using something called rollups, which helps handle transactions more efficiently.
Researchers studied how this new system works and found some problems, like people losing up to 70% of their transaction fees due to poor management of the system's data.
They also identified a bigger issue with how transactions are structured, which might be causing even more problems.

","source":"ArXiv Cryptography & Security","tags":["Ethereum","Layer 2 Scaling Solutions","Blockchain Technology"],"type":"research"},{"title":"Bridging the Gap: Enabling Natural Language Queries for NoSQL Databases\n through Text-to-NoSQL Translation","date":[2025,2,16,17,1,48,6,47,0],"link":"http://arxiv.org/abs/2502.11201v2","summary":"

NoSQL database experts are making it easier for non-tech users to interact with these powerful tools by creating ways to turn everyday language into database commands.
They've developed a system and dataset to help make this happen, which could lead to more people being able to work with big data in a user-friendly way.

","source":"ArXiv Databases","tags":["NoSQL databases","natural language processing","database interfaces"],"type":"research"},{"title":"Computing Inconsistency Measures Under Differential Privacy","date":[2025,2,16,6,23,11,6,47,0],"link":"http://arxiv.org/abs/2502.11009v1","summary":"

When using data for different purposes, it's essential to check its quality first.
This is especially true when dealing with private data, where we want to keep sensitive information secret.
Researchers have come up with various ways to measure how consistent the data is, but some of these methods are too complicated to use in a secure way.
To solve this problem, they used a special type of graph called a conflict graph and developed new techniques to estimate the consistency measures without revealing sensitive information.

","source":"ArXiv Databases","tags":["Data Quality","Differential Privacy","Conflict Graphs"],"type":"research"},{"title":"Revisiting the Design of In-Memory Dynamic Graph Storage","date":[2025,2,16,2,30,16,6,47,0],"link":"http://arxiv.org/abs/2502.10959v1","summary":"

The paper discusses how computers store and update large graphs quickly, especially when many users are accessing and changing the data at the same time.
It compares different methods for storing these graphs and finds that most of them use too much memory and don't work well on modern computer architectures.
The study highlights areas where these methods can be improved to make graph analytics faster and more efficient.

","source":"ArXiv Databases","tags":["Graph Analytics","Concurrent Data Access","Memory Optimization"],"type":"research"},{"title":"Indexing Join Inputs for Fast Queries and Maintenance","date":[2025,2,15,18,12,49,5,46,0],"link":"http://arxiv.org/abs/2502.10874v1","summary":"

Database systems are trying to improve their performance by joining large amounts of data efficiently, but existing solutions have limitations.
Researchers have created a new method called the 'merged index' which combines traditional indexing and materialized join views to allow for faster query processing without blocking other tasks.

","source":"ArXiv Databases","tags":["database systems","data joins","indexing"],"type":"research"},{"title":"Automated Data Quality Validation in an End-to-End GNN Framework","date":[2025,2,15,4,22,24,5,46,0],"link":"http://arxiv.org/abs/2502.10667v1","summary":"

Ensuring the accuracy and reliability of data is very important, especially when using it to train or test artificial intelligence systems.
Current methods for checking data quality often rely on experts defining rules, which can be incomplete or too strict, leading to false mistakes.
Our new method, called DQuag, uses a type of neural network to automatically detect errors in the data and even suggest ways to fix them, making it more effective than traditional approaches.

","source":"ArXiv Databases","tags":["Data Quality","Machine Learning","Artificial Intelligence"],"type":"research"},{"title":"WeedsGalore: A Multispectral and Multitemporal UAV-based Dataset for\n Crop and Weed Segmentation in Agricultural Maize Fields","date":[2025,2,18,18,13,19,1,49,0],"link":"http://arxiv.org/abs/2502.13103v1","summary":"

Weeds can cause big problems for crops, but scientists are working on new ways to manage them using special technology like cameras and computers.
They're creating tools that can help farmers identify and remove weeds more efficiently, which is especially important for crops like corn that people rely on a lot.
Researchers have created a special dataset of images and annotations to help improve these tools, and their results show that it's effective in identifying weeds even when the camera is taking pictures from different angles or under different conditions.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["weed management","crop yield","agriculture","computer vision","artificial intelligence"],"type":"research"},{"title":"Learning to Defer for Causal Discovery with Imperfect Experts","date":[2025,2,18,18,55,53,1,49,0],"link":"http://arxiv.org/abs/2502.13132v1","summary":"

Researchers have developed a new method called L2D-CD to combine expert knowledge and data analysis when trying to figure out cause-and-effect relationships.
This is challenging because experts may be wrong or unsure, but the new method can decide whether to trust the experts or rely on data analysis, resulting in better results than either one alone.

","source":"ArXiv AI","tags":["causal discovery","machine learning","expert knowledge"],"type":"research"},{"title":"Generalized De Bruijn Words, Invertible Necklaces, and the\n Burrows-Wheeler Transform","date":[2025,2,18,13,24,9,1,49,0],"link":"http://arxiv.org/abs/2502.12844v1","summary":"

Researchers are studying a type of code called generalized de Bruijn words.
These codes have special properties, such as being made up of rearranged letters.
They've found connections between these codes and other concepts like paths in networks, special types of matrices, and mathematical groups.
Specifically, they're looking at how binary codes (codes that use only 0s and 1s) relate to circular patterns, invertible transformations, and the structure of finite fields.

","source":"ArXiv DSA","tags":["de Bruijn words","Burrows--Wheeler transform","network design","finite fields","invertible circulant matrices"],"type":"research"},{"title":"SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance\n Software Engineering?","date":[2025,2,17,18,41,16,0,48,0],"link":"http://arxiv.org/abs/2502.12115v1","summary":"

A team created a test called SWE-Lancer to see how well artificial intelligence models do at tasks that real software engineers get paid for.
The test has over 1,400 different tasks, like fixing bugs or making new features, and it's valued at $1 million because that's what real people were paid for those tasks.
So far, the best AI models still can't do most of the tasks on their own, but the team made all the materials available so others can study and improve AI's ability to help with software engineering.

","source":"ArXiv Software Engineering","tags":["Artificial Intelligence","Software Engineering","Machine Learning","Benchmarking"],"type":"research"},{"title":"CONSTRUCTA: Automating Commercial Construction Schedules in Fabrication\n Facilities with Large Language Models","date":[2025,2,17,17,35,42,0,48,0],"link":"http://arxiv.org/abs/2502.12066v1","summary":"

Researchers are exploring how artificial intelligence can help plan complex construction projects more efficiently.
They've created a new system called CONSTRUCTA, which uses machines to analyze data and make better schedules for big projects like building semiconductors.
This approach has shown significant improvements over traditional methods, suggesting it could greatly impact the construction industry.

","source":"ArXiv Software Engineering","tags":["Artificial Intelligence","Construction Planning","Machine Learning"],"type":"research"},{"title":"Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o\n Under Data Scarsity","date":[2025,2,17,15,24,11,0,48,0],"link":"http://arxiv.org/abs/2502.11901v1","summary":"

Existing language models struggle with tasks that involve proving mathematical concepts due to a lack of available data.
To address this issue, researchers have developed a new method for creating artificial training data that allows language models to learn how to prove complex ideas and fix mistakes in code.

","source":"ArXiv Software Engineering","tags":["Proof-Oriented Programming","Language Models","Artificial Data Generation"],"type":"research"},{"title":"Code-Vision: Evaluating Multimodal LLMs Logic Understanding and Code\n Generation Capabilities","date":[2025,2,17,14,25,45,0,48,0],"link":"http://arxiv.org/abs/2502.11829v1","summary":"

Researchers created a new test called Code-Vision to see how well artificial intelligence models can write code based on simple drawings of what the code should do.
The test found that some AI models are very good at writing code, but others struggle.
The researchers also compared their test to other similar tests and found out why some models were not doing as well.

","source":"ArXiv Software Engineering","tags":["Artificial Intelligence","Code Generation","Multimodal Learning Models"],"type":"research"},{"title":"Assessing the impacts of tradable credit schemes through agent-based\n simulation","date":[2025,2,17,14,15,24,0,48,0],"link":"http://arxiv.org/abs/2502.11822v1","summary":"

Researchers are looking at tradable credit schemes as an alternative to congestion pricing because they seem fairer and don't make money from it.
However, most studies have been too simple so scientists propose a new way to model this using computer simulations.
They created a framework that can test different designs for tradable credit schemes on a realistic network of roads and users, which shows that these schemes are efficient in reducing traffic congestion.

","source":"ArXiv Software Engineering","tags":["Transportation Demand","Simulation Framework","Congestion Pricing"],"type":"research"},{"title":"Software Process as a Service: Towards A Software Process Ecosystem","date":[2025,2,17,13,30,19,0,48,0],"link":"http://arxiv.org/abs/2502.11792v1","summary":"

Large companies working under strict rules need special ways to follow these rules.
Giving people who use these processes easy access to them is hard, so we created a system where process users can find and use what they need as online services.

","source":"ArXiv Software Engineering","tags":["Software Engineering","Process Management","Regulated Environments"],"type":"research"},{"title":"Using OpenAI’s o3-mini Reasoning Model in Semantic Kernel","author":"Roger Barreto","date":[2025,2,18,23,56,48,1,49,0],"link":"https://devblogs.microsoft.com/semantic-kernel/using-openais-o3-mini-reasoning-model-in-semantic-kernel","source":"Microsoft Devblogs","summary":"

To use the OpenAI chat completion service with the 'o3-mini' model, you need to initialize it and then send a message to prompt the model for a response.
This can be done using C# or Python with Semantic Kernel, which provides a simple way to integrate the model into your applications.
The 'reasoning_effort' parameter allows you to adjust the level of detail in the model's response, making it suitable for various tasks such as generating code, solving math problems, or handling complex queries.

","tags":["OpenAI","o3-mini","Chat Completion Service","Semantic Kernel","Reasoning Models"],"type":"blog"},{"title":"Financial services: Dealmakers adapt to a shifting landscape","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/financial-services-dealmakers-adapt-to-a-shifting-landscape","source":"Mckinsey","summary":"

The financial services industry saw an increase in mergers and acquisitions (M&A) deal value in 2024 compared to 2023, with scale and capability deals being the main drivers of these transactions.
The banking sector experienced consolidation due to regulatory changes and economic uncertainties, while other sectors like wealth-and-asset management, fintech-and-payment, and capital-market saw growth opportunities.
Looking ahead to 2025, dealmakers are adapting to shifting dynamics across sectors, with potential for further consolidation in various markets.

","tags":["Mergers and Acquisitions","Financial Services Industry","Market Trends","Banking Sector","Wealth-and-Asset Management"],"type":"blog"},{"title":"Malware Detection based on API calls","date":[2025,2,18,13,51,56,1,49,0],"link":"http://arxiv.org/abs/2502.12863v1","summary":"

Malware attacks cause big problems by costing billions of dollars.
To protect against them, it's best to catch them early.
Researchers have developed a new way to detect malware by looking at how computer programs call other programs, without worrying about the order they're called in.
They've created a large dataset and used special algorithms to identify patterns that help spot malware quickly and accurately.

","source":"ArXiv Cryptography & Security","tags":["Machine Learning","Malware Detection","API Calls","Behavioral Analysis"],"type":"research"},{"title":"Understanding and Rectifying Safety Perception Distortion in VLMs","date":[2025,2,18,18,6,48,1,49,0],"link":"http://arxiv.org/abs/2502.13095v1","summary":"

Researchers found that AI models that combine both images and text become more vulnerable to bad requests when they use images, compared to just using text.
To fix this issue, they created a new method called ShiftDC, which helps these AI models stay safe without losing their ability to understand images.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Vision-language Models","Artificial Intelligence Safety","Computer Vision","Machine Learning"],"type":"research"},{"title":"Rethinking Diverse Human Preference Learning through Principal Component\n Analysis","date":[2025,2,18,18,55,26,1,49,0],"link":"http://arxiv.org/abs/2502.13131v1","summary":"

Researchers have found a way to better understand what people like or dislike when using AI systems.
They've created a new approach called Decomposed Reward Models (DRMs) that uses math and statistics to figure out what makes something preferred over another, without needing lots of detailed information.
This can help make AI systems more personalized and easier to use.

","source":"ArXiv AI","tags":["Artificial Intelligence","Machine Learning","Personalization"],"type":"research"},{"title":"Revisiting Token Sliding on Chordal Graphs","date":[2025,2,18,11,9,9,1,49,0],"link":"http://arxiv.org/abs/2502.12749v1","summary":"

This article talks about how hard it is to reconfigure or move 'tokens' in certain types of graphs called chordal graphs.
Researchers are trying to figure out if there's an easy way to do this by studying the structure of these graphs, but they found that it's actually very hard even when the graphs have a specific property.
They also looked at other related problems and discovered that they're similarly difficult.

","source":"ArXiv DSA","tags":["Graph Theory","Algorithms","Complexity Theory"],"type":"research"},{"title":"ReF Decompile: Relabeling and Function Call Enhanced Decompile","date":[2025,2,17,12,38,57,0,48,0],"link":"http://arxiv.org/abs/2502.12221v1","summary":"

The goal of decompilation is to take computer code that has already been compiled into a low-level language and turn it back into a high-level language that humans can read and understand.
This helps when the original source code is missing, allowing experts to analyze the program's logic and even fix problems or move old software to new systems.

","source":"ArXiv Software Engineering","tags":["decompilation","reverse engineering"],"type":"research"},{"title":"Design and Implementation of Flutter based Multi-platform Docker\n Controller App","date":[2025,2,17,11,48,2,0,48,0],"link":"http://arxiv.org/abs/2502.11708v1","summary":"

A team has created an app called Flutter that lets people control their computer's Docker resources from another device using a secure connection.
This makes it easier to manage things like containers and virtual machines, which is helpful for people who work in the DevOps field.
The app provides a simple interface so users can easily create, start, stop, or remove these containers without needing to know complicated commands.

","source":"ArXiv Software Engineering","tags":["Flutter","Docker","DevOps","Remote Management","Container Control"],"type":"research"},{"title":"Causal Models in Requirement Specifications for Machine Learning: A\n vision","date":[2025,2,17,10,20,17,0,48,0],"link":"http://arxiv.org/abs/2502.11629v1","summary":"

Developing machine learning software systems requires understanding what data is needed, but finding this information can be difficult.
This paper explores a new approach called causal modeling to help solve this problem by combining existing knowledge with the design of these systems.

","source":"ArXiv Software Engineering","tags":["Machine Learning","Requirements Engineering","Causal Modeling"],"type":"research"},{"title":"Assessing Correctness in LLM-Based Code Generation via Uncertainty\n Estimation","date":[2025,2,17,10,3,1,0,48,0],"link":"http://arxiv.org/abs/2502.11620v1","summary":"

Researchers studied how to measure uncertainty in AI-generated code, which is like writing instructions for computers.
They took two methods from language generation and adapted them to work with code, making some changes because code has different properties.
By testing these methods, they found a link between the uncertainty measurements and how accurate the code is.
This could help check if the code is correct or not.
They also created a rule that prevents the AI from generating code when it's unsure, which greatly reduced errors.

","source":"ArXiv Software Engineering","tags":["Artificial Intelligence","Code Generation","Uncertainty Estimation"],"type":"research"},{"title":"Focused-DPO: Enhancing Code Generation Through Focused Preference\n Optimization on Error-Prone Points","date":[2025,2,17,6,16,2,0,48,0],"link":"http://arxiv.org/abs/2502.11475v1","summary":"

Researchers have found that code generation models often make small mistakes that can greatly affect how well their generated code works.
To improve this, they've created a new framework called Focused-DPO that helps these models focus on the parts of the code where they're most likely to make mistakes.
This makes the generated code more accurate and reliable.

","source":"ArXiv Software Engineering","tags":["Artificial Intelligence","Machine Learning","Code Generation"],"type":"research"},{"title":"GiFT: Gibbs Fine-Tuning for Code Generation","date":[2025,2,17,5,52,44,0,48,0],"link":"http://arxiv.org/abs/2502.11466v1","summary":"

When training large language models to generate code, researchers have found a way to improve their performance by using synthetic data generated from multiple descriptions of the same idea.
This helps to create a more balanced dataset and prevents the model from being biased towards certain types of code.
A new method called Gibbs Fine-Tuning is proposed to achieve this balance and has been tested on several datasets with promising results.

","source":"ArXiv Software Engineering","tags":["Large Language Models","Synthetic Data","Code Generation","Gibbs Sampling"],"type":"research"},{"title":"UnitCoder: Scalable Iterative Code Synthesis with Unit Test Guidance","date":[2025,2,17,5,37,2,0,48,0],"link":"http://arxiv.org/abs/2502.11460v1","summary":"

Researchers have developed a new way to improve how computers generate code by using unit tests, which are like checks to make sure the code is working correctly.
This method helps create more diverse and high-quality code than current methods, which rely on large amounts of pre-existing data or manual instructions.

","source":"ArXiv Software Engineering","tags":["Artificial Intelligence","Computer Code Generation","Machine Learning","Programming"],"type":"research"},{"title":"Go passwordless when calling Azure OpenAI from Azure SQL using Managed Identities","author":"Davide Mauri","date":[2025,2,18,19,7,29,1,49,0],"link":"https://devblogs.microsoft.com/azure-sql/go-passwordless-when-calling-azure-openai-from-azure-sql-using-managed-identities","source":"Microsoft Devblogs","summary":"

To access services like Azure OpenAI without using API keys or passwords, we can use Managed Identities with Azure SQL DB.
This involves assigning an identity to our database server and creating a scoped credential pointing to it.
Once set up, the Managed Identity can access Azure OpenAI and authenticate automatically, eliminating the need for manual authentication processes.

","tags":["Managed Identities","Azure SQL DB","Azure OpenAI","Authentication Methods"],"type":"blog"},{"title":"VisualStudio.Extensibility: Tagger support and updates to settings","author":"Tina Schrepfer (LI)","date":[2025,2,18,17,12,6,1,49,0],"link":"https://devblogs.microsoft.com/visualstudio/visualstudio-extensibility-tagger-support-and-updates-to-settings","source":"Microsoft Devblogs","summary":"

VisualStudio.Extensibility is a tool that allows developers to create extensions for Visual Studio.
These extensions can run outside of the main Visual Studio program, making them faster and more reliable.
The tool also includes an API and documentation to help developers build their own extensions.
Recently, there have been updates to the tool that allow developers to add custom features like CodeLens to languages not supported by default in Visual Studio.

","tags":["VisualStudio.Extensibility","API","Extensions","CodeLens","Developer Tools"],"type":"blog"},{"title":"CEOs in M&A: Five actions only the chief executive can take","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/ceos-in-m-and-a-five-actions-only-the-chief-executive-can-take","source":"Mckinsey","summary":"

A CEO's role in mergers and acquisitions (M&A) is crucial for deal success.
They must define M&A priorities as part of the overall corporate strategy, be involved in large transformational deals, manage stakeholder expectations, secure conviction among employees and board directors, and champion a healthy organizational culture.
This includes communicating clearly with the board, building a management team with the capacity and capabilities to execute the deal, and assessing the culture of both companies to determine which aspects will work best in the combined organization.

","tags":["Mergers and Acquisitions","CEO Role","Strategic Deal-making","Stakeholder Management","Organizational Culture"],"type":"blog"},{"title":"Strands Rocq: Why is a Security Protocol Correct, Mechanically?","date":[2025,2,18,13,34,58,1,49,0],"link":"http://arxiv.org/abs/2502.12848v1","summary":"

Strand spaces is a way to check if a computer protocol is secure using math and logic.
However, this method has its limitations as it's easy to make mistakes and hard to be sure of the results.
To solve this problem, researchers created StrandsRocq, which uses a computer program to help with the checks.
This makes it easier to get accurate results and simplify the process for experts.

","source":"ArXiv Cryptography & Security","tags":["computer-security","protocol-verification","formal-methods"],"type":"research"},{"title":"Personalized Image Generation with Deep Generative Models: A Decade\n Survey","date":[2025,2,18,17,34,4,1,49,0],"link":"http://arxiv.org/abs/2502.13081v1","summary":"

Recently, technology has improved so much that it can create personalized pictures based on what someone wants and needs.
This is done using special computer models called generative models, which help turn ideas into images.
A team of researchers looked at how these models work together to make personalized pictures and found out what makes each one unique.
They also talked about the challenges they face and suggested new ideas for future improvements.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Personalized Image Generation","Generative Models","Artificial Intelligence","Computer Vision"],"type":"research"},{"title":"SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song\n Generation","date":[2025,2,18,18,52,21,1,49,0],"link":"http://arxiv.org/abs/2502.13128v1","summary":"

Researchers have developed a new tool called SongGen, which can create music from text inputs.
This tool uses a special type of artificial intelligence to generate songs with specific characteristics like lyrics, genre, and mood.
It's designed to be flexible and easy to use, allowing users to control the different elements of the song.
The team behind SongGen is sharing their code and data so that others can build on this technology and create even more advanced music-making tools.

","source":"ArXiv AI","tags":["Text-to-Song Generation","Artificial Intelligence","Music Technology","Deep Learning"],"type":"research"},{"title":"Maximizing Value in Challenge the Champ Tournaments","date":[2025,2,18,6,13,40,1,49,0],"link":"http://arxiv.org/abs/2502.12569v1","summary":"

A tournament is a way to decide who wins in a competition, and it also tries to make as much money from the matches played as possible by controlling which players play each other.

","source":"ArXiv DSA","tags":["tournament","value maximization","computational complexity"],"type":"research"},{"title":"AI-Augmented Metamorphic Testing for Comprehensive Validation of\n Autonomous Vehicles","date":[2025,2,16,23,31,59,6,47,0],"link":"http://arxiv.org/abs/2502.12208v1","summary":"

Self-driving cars could change transportation forever, but making sure they're safe is really hard.
Right now, it's tough to test these systems because they have to handle many unexpected situations on the road and we can't recreate all the things they might see.
A new approach uses AI tools to create different versions of driving scenarios so we can test self-driving cars more effectively and make sure they're safe in lots of different conditions.

","source":"ArXiv Software Engineering","tags":["self-driving cars","artificial intelligence","testing methodologies"],"type":"research"},{"title":"Teaching Well-Structured Code: A Literature Review of Instructional\n Approaches","date":[2025,2,16,18,51,22,6,47,0],"link":"http://arxiv.org/abs/2502.11230v1","summary":"

Researchers studied how to teach software engineers good coding skills by reviewing existing methods and tools used in education.
They found that while some tools show promise in improving students' code quality, more studies are needed to see if these benefits last after the tools are taken away.

","source":"ArXiv Software Engineering","tags":["Software Engineering","Code Quality","Education","Instructional Design"],"type":"research"},{"title":"VisPath: Automated Visualization Code Synthesis via Multi-Path Reasoning\n and Feedback-Driven Optimization","date":[2025,2,16,14,9,42,6,47,0],"link":"http://arxiv.org/abs/2502.11140v1","summary":"

Researchers have made significant improvements to computer programs that generate visualizations from text, but they still need human help sometimes.
To fix this, a new system called VisPath was created.
It works by asking follow-up questions to the original one, generating different answers, and then selecting the best result based on how accurate it is.
This system outperforms others in its field, making it more reliable for creating visualizations.

","source":"ArXiv Software Engineering","tags":["Large Language Models","Data Visualization","Artificial Intelligence"],"type":"research"},{"title":"Empirical evaluation of LLMs in predicting fixes of Configuration bugs\n in Smart Home System","date":[2025,2,16,2,11,36,6,47,0],"link":"http://arxiv.org/abs/2502.10953v1","summary":"

Researchers tested three powerful computer programs, GPT-4 and two variations, to see if they could help fix problems with smart home systems.
They gave these programs some examples of issues and asked them to suggest solutions.
The results showed that two of the programs were good at suggesting correct solutions, but one was also very fast and efficient, even if it wasn't as accurate.
This study helps us understand how we can use these computer programs to make fixing problems with smart home systems easier.

","source":"ArXiv Software Engineering","tags":["Large Language Models","Artificial Intelligence","Smart Home Systems","Bug Fixing"],"type":"research"},{"title":"CodeA11y: Making AI Coding Assistants Useful for Accessible Web\n Development","date":[2025,2,15,19,11,21,5,46,0],"link":"http://arxiv.org/abs/2502.10884v1","summary":"

Most websites are not accessible to people with disabilities because their creators don't know how to make them work correctly with special tools.
This is where artificial intelligence (AI) coding assistants come in – they could help by creating code that is disability-friendly, but so far they haven't been very effective.
To solve this problem, researchers created a tool called CodeA11y that helps novice developers write accessible code and reminds them to check their work.

","source":"ArXiv Software Engineering","tags":["Artificial Intelligence","Accessibility in Computing","Web Development"],"type":"research"},{"title":"CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code\n Generation","date":[2025,2,15,13,52,30,5,46,0],"link":"http://arxiv.org/abs/2502.10802v1","summary":"

Researchers have developed a new system called CoCoEvo, which uses large language models to generate both computer programs and tests for those programs from natural language descriptions.
This approach eliminates the need for pre-written test cases and can automatically improve over time.

","source":"ArXiv Software Engineering","tags":["Artificial Intelligence","Computer Science","Programming","Automated Testing"],"type":"research"},{"title":"Improving Retrieval-Augmented Deep Assertion Generation via Joint\n Training","date":[2025,2,15,7,2,27,5,46,0],"link":"http://arxiv.org/abs/2502.10696v1","summary":"

Unit testing is a way of checking if small parts of software are working correctly.
Researchers have been trying to find new ways to do this, and one idea called AG-RAG uses computers to look for good examples and use them to help create more tests.

","source":"ArXiv Software Engineering","tags":["Software Development","Unit Testing","Artificial Intelligence"],"type":"research"},{"title":"M&A Annual Report: Is the wave finally arriving?","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/top-m-and-a-trends","source":"Mckinsey","summary":"

The global market for mergers and acquisitions (M&A) has shown moderate growth, with deal value increasing by 12% to $3.4 trillion in 2024.
Despite challenges such as geopolitical tensions and regulatory changes, many experts are optimistic about the prospects for M&A in 2025.
With favorable macroeconomic conditions and strong corporate balance sheets, companies are looking to make deals to drive growth and adapt to changing market conditions.
Private equity firms are also expected to play a significant role in boosting M&A activity.
However, challenges such as regulatory scrutiny and uncertainty in trade policies may impact dealmaking.
To succeed in this environment, companies need to develop effective M&A strategies, invest in capabilities, and be prepared for the complexities of global markets.

","tags":["Mergers and Acquisitions","Private Equity","Global Markets","Regulatory Scrutiny","Trade Policies"],"type":"blog"},{"title":"RAPID: Retrieval Augmented Training of Differentially Private Diffusion\n Models","date":[2025,2,18,11,56,51,1,49,0],"link":"http://arxiv.org/abs/2502.12794v1","summary":"

Differentially private diffusion models (DPDMs) are a way to keep people's personal data safe while still being able to use it to create useful and accurate information.
A new approach called RAPID improves upon existing methods by using pre-existing public data to help train the model, making it work faster and take up less memory without sacrificing accuracy or safety.

","source":"ArXiv Cryptography & Security","tags":["Differentially Private Diffusion Models","Machine Learning","Artificial Intelligence","Data Privacy"],"type":"research"},{"title":"L4P: Low-Level 4D Vision Perception Unified","date":[2025,2,18,17,31,26,1,49,0],"link":"http://arxiv.org/abs/2502.13078v1","summary":"

Researchers have created a new system called L4P that can look at videos and figure out important details like where things are moving or how far away they are.
This system is special because it's not just good at one thing, but many things, all at the same time.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Computer Vision","Machine Learning","Video Analysis"],"type":"research"},{"title":"Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language\n in a Coreference Context","date":[2025,2,18,18,42,11,1,49,0],"link":"http://arxiv.org/abs/2502.13120v1","summary":"

Researchers studied how large language models (LLMs) understand and use gender-inclusive language to see if they're neutral or biased.
They found that while LLMs generally stick with the original gender, there's still a hidden bias towards masculine terms in English, and an even stronger bias in German, which can affect the language people use.

","source":"ArXiv AI","tags":["Gender-Inclusive Language","Large Language Models","Bias in AI","Natural Language Processing"],"type":"research"},{"title":"Min-Max Correlation Clustering via Neighborhood Similarity","date":[2025,2,18,4,8,10,1,49,0],"link":"http://arxiv.org/abs/2502.12519v1","summary":"

Researchers have developed an efficient way to group items together based on their relationships, which are either positive or negative.
They've created an algorithm that can quickly and accurately group these items into clusters, making it easier to understand the connections between them.
This new method is especially useful for handling large amounts of data and can even be used with limited memory or in situations where data needs to be processed in real-time.

","source":"ArXiv DSA","tags":["clustering","graph theory","algorithm design","computational complexity"],"type":"research"},{"title":"US healthcare: Navigating through the headwinds","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/us-healthcare-navigating-through-the-headwinds","source":"Mckinsey","summary":"

The US healthcare industry experienced a decline in deal activity in 2024, with a sharp drop in headline transactions and market-moving mergers and acquisitions (M&A).
Despite this slowdown, there are reasons to expect greater M&A activity in 2025 and 2026 as players seek to pursue innovation and growth.
The industry is shifting towards care-at-home models, value-based contracting, and tech-driven platforms to enhance patient outcomes and operational efficiency.
This shift is driven by trends such as an aging population, growing demand for cost-effective healthcare solutions, and the need to reduce healthcare spending.

","tags":["Healthcare Mergers and Acquisitions","US Healthcare Industry","M&A Trends","Care-at-home Models","Value-Based Contracting"],"type":"blog"},{"title":"Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text\n Detection with Adversarial Training","date":[2025,2,18,10,48,53,1,49,0],"link":"http://arxiv.org/abs/2502.12734v1","summary":"

To protect against fake online texts, researchers have created a new system called GREATER that helps machines detect when they're being tricked into writing false information.
This system has two parts: one part tries to trick the machine into writing fake text, and the other part tries to defend against those tricks.
By working together, these two parts help the machine get better at detecting fake text and resisting attempts to make it write fake things.

","source":"ArXiv Cryptography & Security","tags":["Machine Learning","Artificial Intelligence","Cybersecurity"],"type":"research"},{"title":"RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye\n View for 3D Object Detection","date":[2025,2,18,17,17,38,1,49,0],"link":"http://arxiv.org/abs/2502.13071v1","summary":"

Researchers have been working on creating a better system for detecting objects in different environments using radar and cameras.
The problem with current systems is that they don't work well in bad weather or when there's a lot of noise, which can make it hard to detect objects accurately.
To solve this issue, the team created a new model called RobuRCDet that uses techniques like 3D Gaussian Expansion and weather-adaptive fusion to improve detection accuracy even in challenging conditions.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["radar-camera 3D object detection","robustness analysis","object detection model","machine learning"],"type":"research"},{"title":"Performance Evaluation of Large Language Models in Statistical\n Programming","date":[2025,2,18,18,37,15,1,49,0],"link":"http://arxiv.org/abs/2502.13117v1","summary":"

Researchers have been using large language models to create codes automatically, but they need to make sure these codes are correct and good quality before people use them widely.
In this study, scientists tested how well these models do in creating code for statistics analysis, using a set of tasks that included real datasets and correct answers.
They found out that while these models can create code quickly, they often struggle with more complex tasks and might even make mistakes.
This research helps us understand the strengths and weaknesses of these models and will guide how to improve them in the future.

","source":"ArXiv AI","tags":["Large Language Models","Automatic Code Generation","Statistical Analysis"],"type":"research"},{"title":"GPU Memory Usage Optimization for Backward Propagation in Deep Network\n Training","date":[2025,2,18,3,26,39,1,49,0],"link":"http://arxiv.org/abs/2502.12499v1","summary":"

In modern computer science, making bigger Deep Learning models helps them do more complex tasks better.
However, these bigger models use too much memory, which slows down computers and runs out of space.
A solution called rematerialization helps by saving only some parts of the model's calculations in memory and re-doing others when needed.
To make this work efficiently, researchers have created an algorithm to find the best way to save these parts, reducing how much memory is used during training.

","source":"ArXiv DSA","tags":["Deep Learning","Artificial Neural Networks","Computer Vision"],"type":"research"},{"title":"Advanced industries: New technologies and supply chain shifts are driving key portfolio and investment decisions","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/advanced-industries-new-technologies-and-supply-chain-shifts-are-driving-key-portfolio-and-investment-decisions","source":"Mckinsey","summary":"

The mergers and acquisitions (M&A) market in advanced industries, such as automotive, aerospace and defense, industrials, electronics, and semiconductors, has shown signs of recovery in 2024.
Although the total deal value decreased by about 10 percent compared to 2023, the number of deals increased by around 5 percent.
This trend is expected to continue into 2025, driven by reduced interest rates, new technologies, and available capital among private equity players.
Companies are likely to pursue carve-outs, joint ventures, and acquisitions to manage risks, improve competitiveness, and adapt to emerging trends such as electric vehicles, autonomous driving, and artificial intelligence.

","tags":["Mergers and Acquisitions","Advanced Industries","Private Equity","Artificial Intelligence"],"type":"blog"},{"title":"Computation of the Hilbert Series for the Support-Minors Modeling of the\n MinRank Problem","date":[2025,2,18,10,38,6,1,49,0],"link":"http://arxiv.org/abs/2502.12721v1","summary":"

The MinRank problem involves finding a combination of matrices with specific coefficients that has a small rank, or amount of independence.
Researchers have been studying different ways to model and solve this problem, including using algebraic techniques like Gröbner bases and Hilbert Series.
A team of scientists recently provided a formula for calculating the complete Hilbert Series for one of these models, which will help them compare it to another model and estimate how long it takes to solve certain types of problems.

","source":"ArXiv Cryptography & Security","tags":["Linear Algebra","Matrix Theory","Algebraic Modeling","Combinatorial Optimization"],"type":"research"},{"title":"Improved Fine-Tuning of Large Multimodal Models for Hateful Meme\n Detection","date":[2025,2,18,17,7,29,1,49,0],"link":"http://arxiv.org/abs/2502.13061v1","summary":"

The internet has become a place where hateful memes are spreading quickly, and it's hard to stop them using current technology.
To solve this problem, researchers created a new way of training computers to detect these memes, which works better than previous methods and can even recognize memes that aren't in its usual list.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Hateful Memes","Multimodal Models","Artificial Intelligence","Machine Learning"],"type":"research"},{"title":"Improving Clinical Question Answering with Multi-Task Learning: A Joint\n Approach for Answer Extraction and Medical Categorization","date":[2025,2,18,18,20,37,1,49,0],"link":"http://arxiv.org/abs/2502.13108v1","summary":"

Clinical Question Answering helps doctors make decisions by looking through patient records.
Current models are good at answering questions, but struggle to sort answers into categories like diagnosis or treatment.
To fix this, researchers created a new way of training these models that not only finds the right answer but also puts it in the correct category, making medical decision-making easier and more reliable.

","source":"ArXiv AI","tags":["Clinical Question Answering","Multi-Task Learning","Medical Categorization"],"type":"research"},{"title":"Computational-Statistical Tradeoffs at the Next-Token Prediction\n Barrier: Autoregressive and Imitation Learning under Misspecification","date":[2025,2,18,2,52,0,1,49,0],"link":"http://arxiv.org/abs/2502.12465v1","summary":"

Researchers are studying why some models used to predict words or sequences get worse as they try to generate longer and more complex outputs.
They found that this problem, called error amplification, is due to the model not being good enough to represent what it's trying to learn.
However, they also discovered that it's possible to avoid this problem in certain situations, but it would require a lot of computational power or changes in how we design these models.

","source":"ArXiv DSA","tags":["Error Amplification","Sequence Modeling","Machine Learning"],"type":"research"},{"title":"Fully Dynamic LZ77 in Sublinear Time","date":[2025,2,17,16,38,4,0,48,0],"link":"http://arxiv.org/abs/2502.12000v1","summary":"

The Lempel-Ziv 77 (LZ77) compression scheme is used to process and compress data efficiently.
Researchers have developed algorithms to update this system quickly, especially when text changes over time.
Now, scientists have created an even more advanced version that can handle many types of changes, like adding or removing words, replacing words with other words, and accessing the updated system quickly.

","source":"ArXiv DSA","tags":["Lempel-Ziv 77","Data Compression","Dynamic Text Processing"],"type":"research"},{"title":"Algorithm Engineering of SSSP With Negative Edge Weights","date":[2025,2,17,16,37,51,0,48,0],"link":"http://arxiv.org/abs/2502.11999v1","summary":"

Computing shortest paths is an important problem in computer science that has been solved quickly for many years when all numbers used represent non-negative values.
Recently, researchers have developed even faster algorithms that don't rely on complicated math and could be useful in real-world applications.
A team of scientists took one of these new algorithms and made it more practical by simplifying it and testing its performance on difficult datasets.

","source":"ArXiv DSA","tags":["graph theory","shortest paths","algorithms","computer science"],"type":"research"},{"title":"Logarithmic Approximation for Road Pricing on Grids","date":[2025,2,17,16,22,28,0,48,0],"link":"http://arxiv.org/abs/2502.11979v1","summary":"

Imagine you have a city map with roads connecting different neighborhoods, and some people want to travel from one neighborhood to another within their budget.
We need to find a way to charge money for using these roads so that the city makes as much money as possible from travelers who can afford it without going over their budgets.

","source":"ArXiv DSA","tags":["graph theory","pricing optimization","dynamic programming"],"type":"research"},{"title":"Parameterised algorithms for temporal reconfiguration problems","date":[2025,2,17,16,9,0,0,48,0],"link":"http://arxiv.org/abs/2502.11961v1","summary":"

Imagine you have a graph with different vertices, or points, connected by lines.
We want to find a way to move tokens from one set of vertices to another, but we can only move them along certain paths in the graph over time.
This problem is called temporal reconfiguration, and it's related to solving problems like finding the most important points in the graph.
We've found ways to efficiently figure out if we can move the tokens from one set to another, and how to use past results to solve similar problems in the future.

","source":"ArXiv DSA","tags":["Temporal Graph Theory","Reconfiguration Models","Graph Algorithms"],"type":"research"},{"title":"Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance","date":[2025,2,17,13,13,16,0,48,0],"link":"http://arxiv.org/abs/2502.11778v1","summary":"

Imagine you have a lot of complex information, like a big web with many nodes and connections.
We're working on creating a tool to generate a simpler version of this web, called a synthetic network, while making sure it's private and accurate.
This new network should look similar to the original one, but with some changes to protect the sensitive information.

","source":"ArXiv DSA","tags":["Differential Privacy","Network Generation","Graph Theory"],"type":"research"},{"title":"On the Locality of the Lovász Local Lemma","date":[2025,2,17,11,28,55,0,48,0],"link":"http://arxiv.org/abs/2502.11690v1","summary":"

The Lovasz Local Lemma is a tool used in probability theory to help find objects with certain properties by analyzing how likely it is for bad things to happen.
It's like a recipe to avoid problems, and people have developed algorithms using this recipe to actually find the solutions they need.
In this paper, researchers improved these algorithms so that they can work more efficiently and quickly, especially in situations where there are many objects or computers involved.

","source":"ArXiv DSA","tags":["Probability Theory","Lovasz Local Lemma","Algorithms","Combinatorial Objects"],"type":"research"},{"title":"On a tree-based variant of bandwidth and forbidding simple topological\n minors","date":[2025,2,17,11,7,14,0,48,0],"link":"http://arxiv.org/abs/2502.11674v1","summary":"

Researchers developed new methods to analyze and break down complex graphs, which are collections of points connected by lines.
These new tools allow for more efficient processing of certain types of graph problems, even if they contain specific patterns like a central point connected to many others or a particular type of two-node cluster.
This breakthrough has applications in computer science, particularly when working with data organized into hierarchical structures.

","source":"ArXiv DSA","tags":["Graph Theory","Computer Science"],"type":"research"},{"title":"Uncertainty in M&A: Postcards from the new normal","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/uncertainty-in-m-and-a-postcards-from-the-new-normal","source":"Mckinsey","summary":"

In today's business world, uncertainty has become the new normal for mergers and acquisitions (M&A).
This means that companies are being more careful and purposeful when making deals, rather than just trying to take advantage of opportunities as they come up.
With many different factors contributing to uncertainty, such as changes in interest rates, regulations, and global events, dealmakers need to be more strategic and selective about which deals to pursue.
As a result, there is a higher bar for delivering value creation, and companies are becoming more willing to engage in complex deal structuring.
However, purposeful M&A can pay off, with companies that adopt a programmatic approach being more likely to create value than those that take a more opportunistic or selective approach.

","tags":["Mergers and Acquisitions","Uncertainty in Business","Strategic Decision Making","Deal Structuring","Value Creation"],"type":"blog"},{"title":"Chronus: Understanding and Securing the Cutting-Edge Industry Solutions\n to DRAM Read Disturbance","date":[2025,2,18,8,54,49,1,49,0],"link":"http://arxiv.org/abs/2502.12650v1","summary":"

The researchers studied a method called PRAC to prevent damage to computer memory (DRAM) caused by reading data too many times.
However, they found that this method has some problems and can actually slow down computers or even make them more vulnerable to attacks.
To solve these issues, they created a new method called Chronus, which is faster, more secure, and doesn't have the same problems as PRAC.
Chronus works by keeping track of memory usage separately from the data itself and adjusting how often it refreshes the memory to prevent damage.

","source":"ArXiv Cryptography & Security","tags":["Computer Memory","Security","Performance Optimization"],"type":"research"},{"title":"Enhancing Power Grid Inspections with Machine Learning","date":[2025,2,18,16,49,47,1,49,0],"link":"http://arxiv.org/abs/2502.13037v1","summary":"

To ensure power grids are safe and reliable as energy demands rise, researchers are using computer vision to automate inspections.
This approach uses 3D images of the grid to detect important components like power lines and towers, which is more efficient than traditional methods.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Power Grid Inspection","Computer Vision","Machine Learning"],"type":"research"},{"title":"MatterChat: A Multi-Modal LLM for Material Science","date":[2025,2,18,18,19,36,1,49,0],"link":"http://arxiv.org/abs/2502.13107v1","summary":"

Scientists have created a new tool called MatterChat to help predict properties of materials like metals or ceramics.
This tool combines data about the material's structure with information from words and text, making it easier for humans and computers to work together.

","source":"ArXiv AI","tags":["Materials Science","Artificial Intelligence","Computer Models"],"type":"research"},{"title":"Cheesemap: A High-Performance Point-Indexing Data Structure for Neighbor\n Search in LiDAR Data","date":[2025,2,17,9,42,36,0,48,0],"link":"http://arxiv.org/abs/2502.11602v2","summary":"

Point cloud data is important for tasks like recognizing objects, navigating spaces and creating models of our environment.
Researchers compared different ways to store and search this type of data and created a new method called cheesemap which works well with certain types of point clouds, especially those from lasers scanning the ground, by being fast and using minimal memory.

","source":"ArXiv DSA","tags":["Point Cloud Data","Data Structures","Neighboring Search Methods","3D LiDAR Point Clouds"],"type":"research"},{"title":"A linear-time algorithm computing the resident fitness in interacting\n trajectories","date":[2025,2,17,8,48,29,0,48,0],"link":"http://arxiv.org/abs/2502.11561v1","summary":"

Researchers have studied how different paths or trajectories interact with each other, especially in systems where changes occur over time due to factors like mutations and selection.
They found a way to calculate the overall fitness of such a system more efficiently than expected, even when many paths are involved, by using a specific representation called continued lines.

","source":"ArXiv DSA","tags":["trajectories","fitness","population-genetics","mathematics"],"type":"research"},{"title":"New Rates in Stochastic Decision-Theoretic Online Learning under\n Differential Privacy","date":[2025,2,16,5,13,51,6,47,0],"link":"http://arxiv.org/abs/2502.10997v1","summary":"

Researchers have been trying to figure out the best way for a machine to make decisions when it's not sure what will happen next, while also keeping its choices private.
They've made some progress by finding better ways to analyze and bound the performance of these decision-making systems, especially in certain situations where the data is predictable.

","source":"ArXiv DSA","tags":["Machine Learning","Decision Theory","Privacy Preservation"],"type":"research"},{"title":"The Bathroom Model: A Realistic Approach to Hash Table Algorithm\n Optimization","date":[2025,2,16,3,41,8,6,47,0],"link":"http://arxiv.org/abs/2502.10977v1","summary":"

Researchers have developed a new way to search through data stored in computers, called the Bathroom Model.
This method is inspired by how people choose stalls in a bathroom and adjusts its search strategy based on whether the previous stall was occupied or not.
It's more efficient than previous methods and can make computers look for information faster while using less energy.

","source":"ArXiv DSA","tags":["hash table search algorithms","computer science","optimization"],"type":"research"},{"title":"Probabilistic analysis of arithmetic coding showing its robustness","date":[2025,2,15,23,56,8,5,46,0],"link":"http://arxiv.org/abs/2502.10935v1","summary":"

A team analyzed how well the arithmetic coding algorithm works when it's given random bits, like 1s and 0s.
They found that no matter where these bits come from, the final result always looks like a completely uniform random number between 0 and 1.
This is surprising because it works for any mix of 1s and 0s, not just one specific kind.

","source":"ArXiv DSA","tags":["Arithmetic Coding","Probability Theory","Information Theory"],"type":"research"},{"title":"Exponential-Time Approximation (Schemes) for Vertex-Ordering Problems","date":[2025,2,15,21,17,6,5,46,0],"link":"http://arxiv.org/abs/2502.10909v1","summary":"

Researchers explored ways to solve complex graph problems more efficiently, using new approaches to beat previous records of speed and accuracy.
They successfully applied these methods to several specific tasks, such as arranging nodes in a graph in the most efficient way possible, while allowing for different types of graphs and weights on their connections.

","source":"ArXiv DSA","tags":["Graph Theory","Approximation Algorithms","Complexity Theory"],"type":"research"},{"title":"Light Edge Fault Tolerant Graph Spanners","date":[2025,2,15,19,46,27,5,46,0],"link":"http://arxiv.org/abs/2502.10890v1","summary":"

Imagine you have a network of roads and cities, but some roads get damaged or disappear.
A 'fault-tolerant spanner' is a special map of this network that still works even if some roads are gone.
Researchers have been studying how to create these maps with certain properties.
They've made progress in understanding how to balance three main things: the amount of detail on the map, how many roads get damaged before it breaks down, and how much longer the journey gets.
This new work focuses on a specific type of map that's not only good at finding routes but also light - meaning it doesn't take too long to calculate or draw.
The researchers found out that creating such maps is still really hard, even with some adjustments to make them more robust to damage.
However, they were able to figure out a solution that works by comparing the map to a similar but less damaged version of the network.

","source":"ArXiv DSA","tags":["Fault Tolerant Spanners","Networks","Graph Theory"],"type":"research"},{"title":"Local Gibbs sampling beyond local uniformity","date":[2025,2,15,13,33,25,5,46,0],"link":"http://arxiv.org/abs/2502.10795v1","summary":"

Local samplers are tools that generate random numbers based on specific requests, making sure they follow certain patterns while keeping the process efficient even for complex tasks.
These samplers have many uses and we've developed one that doesn't need to make an assumption about how likely it is to get a certain result, which previous versions did require.

","source":"ArXiv DSA","tags":["local samplers","Gibbs distributions","spin systems"],"type":"research"},{"title":"Why managing culture is critical for value creation in M&A","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/why-managing-culture-is-critical-for-value-creation-in-m-and-a","source":"Mckinsey","summary":"

When two companies merge or acquire each other, their cultures play a crucial role in determining the success of the deal.
Culture refers to the shared values, behaviors, and practices within an organization.
If the cultures of the two companies align well, they are more likely to meet their targets and create value from the merger.
However, if there is cultural friction or misunderstandings between the two teams, it can lead to problems like role confusion, performance decline, and loss of top talent.
To avoid these issues, executives need to actively manage cultural factors by diagnosing how work gets done in both companies, setting cultural priorities, and establishing a clear plan for cultural transformation.

","tags":["Mergers And Acquisitions","Organizational Culture","Leadership","Change Management"],"type":"blog"},{"title":"Automating Prompt Leakage Attacks on Large Language Models Using Agentic\n Approach","date":[2025,2,18,8,17,32,1,49,0],"link":"http://arxiv.org/abs/2502.12630v1","summary":"

Researchers have created a new way to test if large language models are secure from a type of threat called 'prompt leakage.' This happens when someone gets access to the model's secret prompts or settings, which could be used to steal sensitive information.
The researchers designed a system where multiple agents work together to try and get the model to reveal its secrets, but in a way that doesn't give away what they're doing.
This new approach helps us understand how secure these models really are and provides a way to make them safer.

","source":"ArXiv Cryptography & Security","tags":["Artificial Intelligence","Machine Learning Security","Large Language Models","Prompt Engineering"],"type":"research"},{"title":"Natural Language Generation from Visual Sequences: Challenges and Future\n Directions","date":[2025,2,18,16,48,18,1,49,0],"link":"http://arxiv.org/abs/2502.13034v1","summary":"

Researchers are exploring ways for AI to describe pictures, but most studies focus on one image at a time.
This paper argues that when we have multiple images or videos, it's actually a more complex problem where the AI needs to understand the relationships between what's being shown and the text describing it.
The authors analyze different tasks related to this issue and identify common challenges, suggesting new areas for research that can help improve AI models.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Artificial Intelligence","Machine Learning","Computer Vision"],"type":"research"},{"title":"Text2World: Benchmarking Large Language Models for Symbolic World Model\n Generation","date":[2025,2,18,17,59,48,1,49,0],"link":"http://arxiv.org/abs/2502.13092v1","summary":"

Researchers are working on using large language models to create virtual worlds based on written descriptions.
To help measure how well these models do this, they created a new tool called Text2World that tests their abilities in many different scenarios and settings.
They found that some of the best-performing models still struggle with creating realistic virtual worlds, so they're exploring new ways to improve their capabilities.

","source":"ArXiv AI","tags":["Artificial Intelligence","Language Models","Virtual Worlds","Computer Science"],"type":"research"},{"title":"Travel, logistics, and infrastructure: Firms are finding opportunities in technology, changing consumer demographics, and global trade","author":"Mckinsey","date":[2025,2,19,0,0,0,2,50,0],"link":"https://www.mckinsey.com/capabilities/m-and-a/our-insights/travel-logistics-and-infrastructure-firms-are-finding-opportunities-in-technology-changing-consumer-demographics-and-global-trade","source":"Mckinsey","summary":"

The travel, logistics, and infrastructure sectors have seen an increase in deal activity in 2024 compared to the previous year, but still below pre-pandemic levels.
Despite this, there are opportunities for growth and transformation as travel dynamics change, and spending on business travel is expected to recover.
Private equity investors and strategic investors should focus on core themes such as travel technology, consolidation, and select bolt-on acquisitions to capitalize on trends in 2025.

","tags":["Private Equity","Logistics","Infrastructure","Travel Technology","Consolidation"],"type":"blog"},{"title":"Cryptanalysis on Lightweight Verifiable Homomorphic Encryption","date":[2025,2,18,8,13,10,1,49,0],"link":"http://arxiv.org/abs/2502.12628v1","summary":"

Verifiable Homomorphic Encryption is a technology that helps keep both your information private and ensure it hasn't been tampered with when you ask a server to do some math on it for you.
This works by having the server perform calculations on encrypted data, and then letting you check if the result is correct without revealing what the original data was.
Researchers have found ways to break this security in certain situations, allowing them to fake the results of these calculations.

","source":"ArXiv Cryptography & Security","tags":["Homomorphic Encryption","Verifiable Computation","Cryptographic Attacks"],"type":"research"},{"title":"A deep learning framework for efficient pathology image analysis","date":[2025,2,18,16,45,1,1,49,0],"link":"http://arxiv.org/abs/2502.13027v1","summary":"

Artificial intelligence has greatly improved digital pathology by allowing computers to look at large images of tissues and predict things about them, like how sick someone might be.
But until now, this process was taking too long because the computers were looking at way more information than they needed to.
A new system called EAGLE is faster and more efficient, letting pathologists quickly see the most important parts of these images and make diagnoses in real-time.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Artificial Intelligence","Digital Pathology","Deep Learning"],"type":"research"},{"title":"BOLIMES: Boruta and LIME optiMized fEature Selection for Gene Expression\n Classification","date":[2025,2,18,17,33,41,1,49,0],"link":"http://arxiv.org/abs/2502.13080v1","summary":"

Gene expression classification is a difficult task because of the large amount of genomic data and the risk of overfitting.
A new method called BOLIMES helps to improve this process by carefully selecting the most important genes.
It works by first removing unimportant genes, then ranking the remaining ones based on their importance, and finally choosing the right combination of genes for the best prediction results.

","source":"ArXiv AI","tags":["Gene Expression Classification","Feature Selection Algorithm","Bioinformatics"],"type":"research"},{"title":"The McKinsey Crossword: Nature of the Beast | No. 220","author":"Mckinsey","date":[2025,2,18,0,0,0,1,49,0],"link":"https://www.mckinsey.com/featured-insights/the-mckinsey-crossword/february-18-2025","source":"Mckinsey","summary":"

You can play interactive puzzles on this website or download and print them if you prefer writing by hand.
There's a new puzzle available every Tuesday, and you can sign up to receive an alert when it's ready.

","tags":["puzzles","games","interactive"],"type":"blog"},{"title":"Tech resilience for healthcare providers: Inaction has a heavy toll","author":"Mckinsey","date":[2025,2,18,0,0,0,1,49,0],"link":"https://www.mckinsey.com/industries/healthcare/our-insights/tech-resilience-for-healthcare-providers-inaction-has-a-heavy-toll","source":"Mckinsey","summary":"

The healthcare industry is facing a growing threat from cyberattacks and outages, which can have severe consequences on patient care and safety.
These incidents are often caused by inadequate investment in technology and infrastructure, insufficient operational contingency plans, and reliance on vulnerable third-party vendors.
As a result, health systems need to prioritize building technology resilience, which involves monitoring, preventing, detecting, and recovering from disruptions.
This requires a comprehensive approach that includes identifying potential vulnerabilities, proactively shoring up architecture, streamlining resilience processes, adopting an engineering mindset in IT operations, and consistently testing and building capabilities through simulations and disaster recovery drills.

","tags":["cybersecurity","technology resilience","healthcare industry","outages","patient safety"],"type":"blog"},{"title":"DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on\n LLM-based Agent","date":[2025,2,18,6,26,15,1,49,0],"link":"http://arxiv.org/abs/2502.12575v1","summary":"

Researchers have created a new way to secretly put backdoors into artificial intelligence agents, making it harder for safety checks to find them.
This new method is called Dynamically Encrypted Multi-Backdoor Implantation Attack and it makes the backdoors almost undetectable.
To test this method, the researchers used various data sets and found that it was very successful at evading safety audits, which highlights a need for more robust defenses against these types of attacks.

","source":"ArXiv Cryptography & Security","tags":["Artificial Intelligence","Machine Learning Security","Backdoor Attacks","Safety Audits"],"type":"research"},{"title":"Detection and Geographic Localization of Natural Objects in the Wild: A\n Case Study on Palms","date":[2025,2,18,16,43,11,1,49,0],"link":"http://arxiv.org/abs/2502.13023v1","summary":"

Scientists have developed a new tool called PRISM to help identify and track palm trees in dense tropical forests using large images taken from drones.
This is important because palm trees are a good indicator of how healthy the forest is and how it's being affected by humans.
The team created a large collection of images of palm trees and used them to test different methods for identifying the trees, with the goal of creating a precise map of their locations.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Palm Tree Detection","Tropical Forest Health","Drones in Research"],"type":"research"},{"title":"Interactive Agents to Overcome Ambiguity in Software Engineering","date":[2025,2,18,17,12,26,1,49,0],"link":"http://arxiv.org/abs/2502.13069v1","summary":"

AI systems are being used more and more to automate tasks, but they often get confused by unclear instructions from users.
This can lead to bad outcomes, safety problems, and wasted computer power.
Researchers studied how these AI systems handle unclear instructions when generating code and found that while they struggle to tell the difference between clear and unclear instructions, interacting with the user helps them figure out what's needed and do a better job.

","source":"ArXiv AI","tags":["Artificial Intelligence","Machine Learning","Natural Language Processing"],"type":"research"},{"title":"Mixing Algorithm for Extending the Tiers of the Unapparent Information\n Send through the Audio Streams","date":[2025,2,18,5,8,45,1,49,0],"link":"http://arxiv.org/abs/2502.12544v1","summary":"

As technology gets better at making digital things, we need new and efficient ways to protect them.
One way to do this is by hiding information inside other files like audio streams, which is called steganography.
This method uses the human brain's ability to ignore sounds that are hard to hear, allowing us to hide secret messages in plain sight.

","source":"ArXiv Cryptography & Security","tags":["steganography","encryption","data protection","information security"],"type":"research"},{"title":"Mean of Means: Human Localization with Calibration-free and\n Unconstrained Camera Settings (extended version)","date":[2025,2,18,16,36,52,1,49,0],"link":"http://arxiv.org/abs/2502.13017v1","summary":"

For virtual reality and other technologies to accurately track people, they need to know exactly where someone is located in space.
Current systems are expensive but offer alternatives using cameras instead of special tags.
However, these camera-based methods have limitations so researchers created a new way that works with just two cheap cameras, tracks many points on the body at once, and is much more accurate.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["human localization","Metaverse","stereo vision","probabilistic approach"],"type":"research"},{"title":"AI-Assisted Decision Making with Human Learning","date":[2025,2,18,17,8,21,1,49,0],"link":"http://arxiv.org/abs/2502.13062v1","summary":"

Researchers studied how computers and humans work together to make decisions.
They found that when a computer helps a human, there's a trade-off between making good choices right away and teaching the human what they need to know for better choices in the long run.
The study showed that if the computer can be 'patient' or the human is able to learn quickly, it's best for the computer to recommend more important information to help the human understand.
This way, both the human and the computer make better decisions over time.

","source":"ArXiv AI","tags":["Artificial Intelligence","Machine Learning","Decision Making"],"type":"research"},{"title":"SoK: Understanding Vulnerabilities in the Large Language Model Supply\n Chain","date":[2025,2,18,3,22,38,1,49,0],"link":"http://arxiv.org/abs/2502.12497v1","summary":"

Large Language Models are changing how we use artificial intelligence, but their development and use also creates big security problems.
These models are vulnerable to many types of attacks, not just the kind that affect what they say or do, but also the underlying software that runs them.
Researchers studied 529 known vulnerabilities in these models and found that most of the problems come from how the models handle resources and data, and while some fixes have been made, many of these fixes don't work, making it hard to keep the models secure.

","source":"ArXiv Cryptography & Security","tags":["Artificial Intelligence","Security Vulnerabilities","Large Language Models"],"type":"research"},{"title":"SHADeS: Self-supervised Monocular Depth Estimation Through\n Non-Lambertian Image Decomposition","date":[2025,2,18,16,15,32,1,49,0],"link":"http://arxiv.org/abs/2502.12994v1","summary":"

Researchers developed a new way to reconstruct 3D scenes from images taken during a colonoscopy.
This helps doctors see which parts of the colon have been looked at and measure the size and shape of polyps more accurately.
The team's method also deals with a common problem in medical imaging: how light reflects off shiny surfaces, making it difficult to get accurate results.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Computer Vision","3D Scene Reconstruction","Colonoscopy Navigation"],"type":"research"},{"title":"Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal\n Prediction to High-Dimensional Covariate Shifts","date":[2025,2,18,16,46,44,1,49,0],"link":"http://arxiv.org/abs/2502.13030v1","summary":"

We're trying to solve a problem where we have some labeled data from one place and unlabeled data from another, but it's been changed in some way.
We want to make predictions on this new data without knowing how much it has changed, which is hard especially with lots of information like images.
Our solution, called LR-QR, helps us predict while also controlling the amount of error we make.

","source":"ArXiv AI","tags":["Machine Learning","Prediction Theory","Data Analysis"],"type":"research"},{"title":"PKE and ABE with Collusion-Resistant Secure Key Leasing","date":[2025,2,18,3,19,54,1,49,0],"link":"http://arxiv.org/abs/2502.12491v1","summary":"

Secure key leasing is an advanced encryption technique that lets someone with a secret key share it safely with others, but only temporarily.
When they're done, they have to give it back or prove they've deleted it.
This helps make sure people with access to the key can't work together to break the encryption, which is more realistic than previous ways of doing things.

","source":"ArXiv Cryptography & Security","tags":["Secure Key Leasing","Public Key Encryption","Quantum Decryption"],"type":"research"},{"title":"PartSDF: Part-Based Implicit Neural Representation for Composite 3D\n Shape Parametrization and Optimization","date":[2025,2,18,16,8,47,1,49,0],"link":"http://arxiv.org/abs/2502.12985v1","summary":"

Engineers need to be able to accurately show and create three-dimensional shapes for designing, testing, and optimizing their work, but current methods often don't meet this need because they either treat entire objects as one piece or break them down into parts without a clear plan.
A new framework called PartSDF helps solve this problem by allowing engineers to model complex objects made up of many different parts while keeping the overall shape consistent and precise.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["3D Shape Representation","Engineering Applications","Machine Learning"],"type":"research"},{"title":"Agentic Deep Graph Reasoning Yields Self-Organizing Knowledge Networks","date":[2025,2,18,16,44,42,1,49,0],"link":"http://arxiv.org/abs/2502.13025v1","summary":"

Imagine a computer system that builds its own knowledge map by constantly learning and adding new information to it, kind of like how we learn and remember things every day.
This system uses a combination of artificial intelligence and a large database to create a network of connected ideas, where some concepts become very important 'hubs' and others act as 'bridges' between different groups of knowledge.
As the system grows, it can come up with brand new ideas that aren't just a summary of what's already known.

","source":"ArXiv AI","tags":["Artificial Intelligence","Machine Learning","Knowledge Graphs","Natural Language Processing"],"type":"research"},{"title":"LMN: A Tool for Generating Machine Enforceable Policies from Natural\n Language Access Control Rules using LLMs","date":[2025,2,18,2,45,46,1,49,0],"link":"http://arxiv.org/abs/2502.12460v1","summary":"

Organizations create rules called Natural Language Access Control Policies (NLACPs) to decide who gets access to certain information.
However, these rules are hard to use in systems like Attribute-based Access Control (ABAC), so a team created a free online tool called LMN that can automatically translate NLACP rules into a format that works with ABAC systems.

","source":"ArXiv Cryptography & Security","tags":["Natural Language Access Control Policies","Attribute-based Access Control","Machine Enforceable Security Policies"],"type":"research"},{"title":"Instance-Level Moving Object Segmentation from a Single Image with\n Events","date":[2025,2,18,15,56,46,1,49,0],"link":"http://arxiv.org/abs/2502.12975v1","summary":"

Researchers have been trying to improve how computers identify objects moving in videos.
They've found that using just one type of data, like images or event cameras, isn't enough because it's hard to tell if the object is moving due to the camera or itself.
To solve this problem, they created a new system that uses both image and event data together to help computers better identify and separate moving objects.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Moving Object Segmentation","Event Cameras","Image Processing"],"type":"research"},{"title":"HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit","date":[2025,2,18,16,33,38,1,49,0],"link":"http://arxiv.org/abs/2502.13013v1","summary":"

Researchers have created a new system called HOMIE to help control humanoid robots more easily.
This system includes special hardware and software that allows a person to control the robot's movements, including walking, squatting, and arm positions, with greater precision and speed than previous methods.
The goal is to make it easier for people to use humanoid robots for tasks that require both movement and manipulation of objects.

","source":"ArXiv AI","tags":["Humanoid Robots","Teleoperation Systems","Robotics","Artificial Intelligence"],"type":"research"},{"title":"Choosing Coordinate Forms for Solving ECDLP Using Shor's Algorithm","date":[2025,2,18,2,23,38,1,49,0],"link":"http://arxiv.org/abs/2502.12441v1","summary":"

Researchers are trying to improve Shor's algorithm, which is good at solving a certain math problem on computers, using less powerful resources.
However, they found that another way of storing numbers in these computers doesn't offer the same benefits as the current method.

","source":"ArXiv Cryptography & Security","tags":["Shor's Algorithm","Elliptic Curve Discrete Logarithm Problem","Quantum Computing"],"type":"research"},{"title":"Fake It Till You Make It: Using Synthetic Data and Domain Knowledge for\n Improved Text-Based Learning for LGE Detection","date":[2025,2,18,15,30,48,1,49,0],"link":"http://arxiv.org/abs/2502.12948v1","summary":"

Researchers have been working on developing a computer system that can automatically detect heart damage from MRI images using text information from medical reports.
This task is difficult because it requires expert knowledge and large amounts of data, but the researchers found ways to make it work with only a small group of patients (965) by using fake data creation, image alignment, and training the system on both visual and written information.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Deep Learning","Medical Imaging","Computer Vision"],"type":"research"},{"title":"Integrating Reinforcement Learning, Action Model Learning, and Numeric\n Planning for Tackling Complex Tasks","date":[2025,2,18,16,26,21,1,49,0],"link":"http://arxiv.org/abs/2502.13006v1","summary":"

Researchers have been trying to find a way for computers to plan actions in complex environments like video games, without having to tell them exactly what to do.
They've developed algorithms to learn how these environments work and use this knowledge to make better plans.
In this study, they tested one of these algorithms called NSAM on the game Minecraft and compared it with other methods.
The results show that learning about the environment can help computers solve problems more efficiently and effectively.

","source":"ArXiv AI","tags":["Artificial Intelligence","Machine Learning","Robotics","Planning Algorithms"],"type":"research"},{"title":"Hybrid Machine Learning Models for Intrusion Detection in IoT:\n Leveraging a Real-World IoT Dataset","date":[2025,2,17,23,41,10,0,48,0],"link":"http://arxiv.org/abs/2502.12382v1","summary":"

The Internet of Things (IoT) has made industries more connected and efficient but also makes them more vulnerable to sophisticated cyberattacks.
To protect against these attacks, researchers have created a new way to detect intrusions using machine learning.
This method combines different algorithms to make it more accurate and able to handle complex data, which can help keep IoT systems safe.

","source":"ArXiv Cryptography & Security","tags":["IoT","Cybersecurity","Intrusion Detection Systems (IDS)","Machine Learning"],"type":"research"},{"title":"LLMPopcorn: An Empirical Study of LLMs as Assistants for Popular\n Micro-video Generation","date":[2025,2,18,15,29,5,1,49,0],"link":"http://arxiv.org/abs/2502.12945v1","summary":"

Researchers studied how large language models (LLMs) can help create short, popular videos like those on TikTok.
They found out that with these advanced models and some extra tweaks to their prompts, they can make videos just as good as ones made by humans.
This is an important discovery that could lead to new ways of making AI-generated content.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Artificial Intelligence","Machine Learning","Natural Language Processing"],"type":"research"},{"title":"You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with\n a Multi-Agent Conversations","date":[2025,2,18,16,21,22,1,49,0],"link":"http://arxiv.org/abs/2502.13001v1","summary":"

Researchers have created a large dataset of meetings called FAME, which helps to solve the problem of not having enough meeting recordings due to privacy and cost issues.
They used a computer system called MIMIC to generate these meetings, making sure they sound natural and realistic.
The researchers also developed a way to evaluate how good their meetings are, focusing on things like how well the speakers interact with each other and how difficult it is to understand what's being said.

","source":"ArXiv AI","tags":["meeting summarization","language models","data synthesis"],"type":"research"},{"title":"VIC: Evasive Video Game Cheating via Virtual Machine Introspection","date":[2025,2,17,20,54,56,0,48,0],"link":"http://arxiv.org/abs/2502.12322v1","summary":"

Video game cheats are modifications that give some players unfair advantages while hiding from the game developers' detection methods.
These cheats can ruin online gaming and cost game developers money.
A new type of cheat, called Virtual machine Introspection Cheat (VIC), uses computer virtualization to secretly execute cheats.
VIC was tested on three popular games with five different anti-cheat systems and shown to be undetected, making it a potentially serious problem for the gaming industry.

","source":"ArXiv Cryptography & Security","tags":["Video Game Cheats","Virtual Machine Introspection","Computer Security","Gaming Industry"],"type":"research"},{"title":"CriteoPrivateAd: A Real-World Bidding Dataset to Design Private\n Advertising Systems","date":[2025,2,17,18,24,48,0,48,0],"link":"http://arxiv.org/abs/2502.12103v1","summary":"

Researchers have created a large set of data called CriteoPrivateAd to help companies develop online advertising systems without using third-party cookies, which are a way for websites to track people's browsing habits.
This dataset is like a blueprint that shows how to build private advertising systems while still getting good results.
It includes information about how users interact with ads and can be used by companies to design their own private advertising systems.

","source":"ArXiv Cryptography & Security","tags":["private advertising","online advertising","third-party cookies","data anonymization","machine learning"],"type":"research"},{"title":"A limited technical background is sufficient for attack-defense tree\n acceptability","date":[2025,2,17,15,33,7,0,48,0],"link":"http://arxiv.org/abs/2502.11920v1","summary":"

Researchers studied how well people with different levels of computer knowledge could use Attack-Defense Trees (ADTs), a tool for analyzing security risks.
They found out that even those with limited technical background could easily use ADTs, making it a good method for everyone to understand and communicate security information.

","source":"ArXiv Cryptography & Security","tags":["Attack-Defense Tree","Threat Modeling","Security Risk Analysis"],"type":"research"},{"title":"Enhanced Anomaly Detection in IoMT Networks using Ensemble AI Models on\n the CICIoMT2024 Dataset","date":[2025,2,17,14,46,58,0,48,0],"link":"http://arxiv.org/abs/2502.11854v1","summary":"

The healthcare industry is facing new security threats due to the rapid growth of medical devices connected to the internet.
To address this issue, researchers are developing a more effective system to detect unusual patterns in these devices' online activities using artificial intelligence and machine learning techniques.
This system uses data from various types of devices and communication methods to identify potential security breaches.

","source":"ArXiv Cryptography & Security","tags":["IoMT","Cybersecurity","Machine Learning","Healthcare Technology"],"type":"research"},{"title":"BaxBench: Can LLMs Generate Correct and Secure Backends?","date":[2025,2,17,14,37,47,0,48,0],"link":"http://arxiv.org/abs/2502.11844v1","summary":"

Computer scientists are trying to make computers automatically create programs, but they're still having trouble getting it right.
To test how well this works, researchers created a benchmark called BaxBench with 392 tasks that challenge large language models to write secure and functional backend applications for modern software.
So far, the best models can only get about 60% of these tasks correct and even when they do, there's often a security risk.

","source":"ArXiv Cryptography & Security","tags":["Artificial Intelligence","Machine Learning","Computer Science","Software Development"],"type":"research"},{"title":"BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion\n Model","date":[2025,2,17,13,39,5,0,48,0],"link":"http://arxiv.org/abs/2502.11798v1","summary":"

Researchers have been studying how deep neural networks, which are used to make decisions for things like self-driving cars and medical diagnoses, can be tricked into making mistakes.
They found out that some of these networks, called diffusion models, have vulnerabilities that can be exploited.
To help fix this problem, the researchers created a new tool called BackdoorDM, which tests different methods of attacking and defending against these weaknesses.

","source":"ArXiv Cryptography & Security","tags":["Backdoor learning","Deep neural networks","Diffusion models","Artificial intelligence security"],"type":"research"},{"title":"Understanding RowHammer Under Reduced Refresh Latency: Experimental\n Analysis of Real DRAM Chips and Implications on Future Solutions","date":[2025,2,17,12,39,3,0,48,0],"link":"http://arxiv.org/abs/2502.11745v1","summary":"

RowHammer is a problem with how computer memory works where it gets disturbed by repeated access to the same area, causing errors nearby.
To fix this, computers use a technique called preventive refresh to restore energy to those areas.
However, this process can be slow and take up too much power or space.
Researchers created a new method called PaCRAM that reduces the time and power used for preventive refresh, making it more efficient and affordable.

","source":"ArXiv Cryptography & Security","tags":["RowHammer","DRAM","preventive refresh","memory vulnerability"],"type":"research"},{"title":"2FA: Navigating the Challenges and Solutions for Inclusive Access","date":[2025,2,17,12,23,53,0,48,0],"link":"http://arxiv.org/abs/2502.11737v1","summary":"

In today's online world, we need strong security to protect ourselves from hackers.
Two-Factor Authentication (2FA) is a good way to do this, but it can be hard for people with disabilities to use.
This research looks at how we can make 2FA more accessible and secure for everyone.

","source":"ArXiv Cryptography & Security","tags":["Two-Factor Authentication","Accessibility in Technology","Digital Inclusivity"],"type":"research"},{"title":"ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks\n using Machine Unlearning","date":[2025,2,17,11,25,28,0,48,0],"link":"http://arxiv.org/abs/2502.11687v1","summary":"

Hackers can secretly add hidden code to computer programs called deep neural networks (DNN) to make them do bad things when given specific information.
To stop this, experts check for unusual behavior in these DNNs.
However, some hackers found a way around this by making their secret codes only work sometimes and then fixing it later.
A new system called ReVeil is designed to evade detection by hiding its secret code during the initial training of the DNN without needing any special access or extra information.

","source":"ArXiv Cryptography & Security","tags":["Backdoor Attack","Deep Neural Networks","Machine Learning Security"],"type":"research"},{"title":"Contrast-Unity for Partially-Supervised Temporal Sentence Grounding","date":[2025,2,18,14,59,18,1,49,0],"link":"http://arxiv.org/abs/2502.12917v1","summary":"

Temporal sentence grounding is a task where computers try to find the exact time when an event happens in a video, based on what's being said.
Currently, we have three ways of doing this: fully-supervised (very accurate but requires a lot of work), weakly-supervised (fast and cheap but not very accurate), and partially-supervised (a mix of both).
This paper proposes a new approach that uses a framework with two stages to improve accuracy while reducing the amount of work needed.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Temporal Sentence Grounding","Video Analysis","Natural Language Processing"],"type":"research"},{"title":"Free Argumentative Exchanges for Explaining Image Classifiers","date":[2025,2,18,16,15,36,1,49,0],"link":"http://arxiv.org/abs/2502.12995v1","summary":"

Deep learning models are very good at recognizing pictures, but it's hard to understand why they made a certain decision because they're so complicated.
To fix this problem, some researchers created a new way to explain how these models make decisions using debates between two agents who argue for different answers.
This approach is more faithful and clear than other methods, and the results show that it works well.

","source":"ArXiv AI","tags":["Deep Learning","Image Classification","Artificial Intelligence","Argumentation-Based Framework"],"type":"research"},{"title":"\"I'm not for sale\" -- Perceptions and limited awareness of privacy risks\n by digital natives about location data","date":[2025,2,17,10,49,23,0,48,0],"link":"http://arxiv.org/abs/2502.11658v2","summary":"

Researchers studied how smartphone users share their location data and what they know about the potential risks to their privacy.
The results showed that many people are unaware of which apps have access to their data or underestimate the amount of information those apps can gather.
However, after being shown what their location data can reveal, some participants were surprised and wanted to change their settings to improve their privacy.

","source":"ArXiv Cryptography & Security","tags":["Privacy","Data Sharing","Mobile Devices","Location Data"],"type":"research"},{"title":"\"I'm 73, you can't expect me to have multiple passwords\": Password\n Management Concerns and Solutions of Irish Older Adults","date":[2025,2,17,10,42,13,0,48,0],"link":"http://arxiv.org/abs/2502.11650v1","summary":"

Researchers talked to 67 Irish people over 59 about how they manage their passwords.
They found that many of these older adults got frustrated with having too many passwords and didn't like using special password tools.
The researchers learned that some people write down their passwords in a safe place, which can be helpful, but it's also important to keep those places secure.
The goal is to help older adults manage their passwords more easily and stay safe online.

","source":"ArXiv Cryptography & Security","tags":["Password Management","Cybersecurity","Older Adults","User Experience"],"type":"research"},{"title":"DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with\n Model Editing","date":[2025,2,17,10,39,21,0,48,0],"link":"http://arxiv.org/abs/2502.11647v1","summary":"

Large Language Models are used in making decisions but they can be tricked by bad users to get around safety measures.
To fix this, researchers created a new way called DELMAN.
It helps keep the model safe by making small changes to it so that it can't be easily tricked, and also makes sure the model still works well when dealing with normal tasks.

","source":"ArXiv Cryptography & Security","tags":["Artificial Intelligence","Machine Learning","Cybersecurity"],"type":"research"},{"title":"CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image","date":[2025,2,18,14,29,52,1,49,0],"link":"http://arxiv.org/abs/2502.12894v1","summary":"

CAST is a new method for reconstructing 3D scenes from just one color image.
It works by first identifying the objects in the image and their relative positions, then using artificial intelligence to generate accurate 3D models of each object and place them correctly in the scene.
The final result is a realistic 3D model that can be used in robotics and other fields for simulation and testing.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Computer Graphics","Machine Learning","3D Reconstruction"],"type":"research"},{"title":"B-cos LM: Efficiently Transforming Pre-trained Language Models for\n Improved Explainability","date":[2025,2,18,16,13,8,1,49,0],"link":"http://arxiv.org/abs/2502.12992v1","summary":"

Researchers have found a way to make complex language models more understandable and trustworthy by modifying them with something called B-cos networks.
This new approach, called B-cos LMs, is able to explain how the model came up with its answers in a clear and accurate way, without losing any of its original performance.
It works by taking an existing language model and adjusting it so that it can produce explanations for its decisions.

","source":"ArXiv AI","tags":["Machine Learning","Natural Language Processing","Artificial Intelligence"],"type":"research"},{"title":"A Zero-Knowledge Proof for the Syndrome Decoding Problem in the Lee\n Metric","date":[2025,2,17,10,35,18,0,48,0],"link":"http://arxiv.org/abs/2502.11641v2","summary":"

A new cryptography system called code-based cryptography has been studied, and it's been found that a specific part of this system, known as the syndrome decoding problem, is very hard to solve.
Researchers have looked at a special version of this problem and are trying to find an efficient way to solve it, which could lead to better security for online transactions.

","source":"ArXiv Cryptography & Security","tags":["cryptography","code-based cryptography","syndrome decoding problem"],"type":"research"},{"title":"User-Centric Data Management in Decentralized Internet of Behaviors\n System","date":[2025,2,17,9,59,25,0,48,0],"link":"http://arxiv.org/abs/2502.11616v1","summary":"

The Internet of Behaviors (IoB) is a new concept where devices collect data on how people behave, and then use this information to provide helpful services.
However, there's a problem: the security and privacy risks from collecting and using this personal data are not well understood.
To address these issues, researchers have proposed a new way of storing and sharing IoB data that uses blockchain technology and special tools to keep users' identities safe.

","source":"ArXiv Cryptography & Security","tags":["Internet of Behaviors","Blockchain Technology","Data Security","Artificial Intelligence"],"type":"research"},{"title":"Trinity: A Scalable and Forward-Secure DSSE for Spatio-Temporal Range\n Query","date":[2025,2,17,8,30,42,0,48,0],"link":"http://arxiv.org/abs/2502.11550v1","summary":"

Cloud-based services that help us figure out where things are have some big security problems.
To fix this, researchers created two new systems called TrinityI and TrinityII.
These systems let them update information quickly without making people's personal details leak out.
The second system also helps keep data safe from fake or incorrect info, uses less storage space, and is way faster than what we currently have.

","source":"ArXiv Cryptography & Security","tags":["Cloud Computing","Location-based Services","Security Analysis","Data Storage"],"type":"research"},{"title":"DeFiScope: Detecting Various DeFi Price Manipulations with LLM Reasoning","date":[2025,2,17,7,45,3,0,48,0],"link":"http://arxiv.org/abs/2502.11521v1","summary":"

The cryptocurrency world has a big problem: people are cheating by manipulating prices in a way called DeFi price manipulation attacks.
These attacks are hard to catch, even with the best systems available today, and most of them use special price models that don't follow standard rules.
A new system called DeFiScope uses artificial intelligence to identify these tricks and has been very successful at catching cheaters, working much better than other systems.

","source":"ArXiv Cryptography & Security","tags":["Decentralized Finance","Artificial Intelligence","Cryptocurrency","Price Manipulation","DeFi Attacks"],"type":"research"},{"title":"Optimized detection of cyber-attacks on IoT networks via hybrid deep\n learning models","date":[2025,2,17,6,1,6,0,48,0],"link":"http://arxiv.org/abs/2502.11470v1","summary":"

As more devices connect to the internet, it's becoming easier for hackers to attack them.
To stop this, researchers have created a new way to detect these threats using three advanced tools: Self-Organizing Maps, Deep Belief Networks, and Autoencoders.
This method can identify not only known attacks but also new ones that haven't been seen before, helping keep internet-connected devices safer.

","source":"ArXiv Cryptography & Security","tags":["Internet of Things","Cybersecurity","Machine Learning"],"type":"research"},{"title":"Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language\n Models via Adversarial Training","date":[2025,2,17,5,28,47,0,48,0],"link":"http://arxiv.org/abs/2502.11455v1","summary":"

To keep large language models safe, researchers are working on a new training method called ADPO (Adversary-aware DPO).
This method helps models learn to resist attacks from bad actors and stay reliable even when faced with difficult situations.

","source":"ArXiv Cryptography & Security","tags":["Safety alignment","Language model security","Artificial intelligence safety"],"type":"research"},{"title":"CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language\n Models","date":[2025,2,17,2,49,26,0,48,0],"link":"http://arxiv.org/abs/2502.11379v1","summary":"

Large language models, which are computer programs that can generate human-like text, have a security flaw called 'jailbreaking'.
This happens when someone tricks the model into behaving in an unexpected way by manipulating its input.
To prevent this from happening, researchers created a new method to balance between making the model behave badly and keeping it coherent.
They tested their method on several language models and found that it was better at making the model misbehave than existing methods, while still keeping its behavior sensible.

","source":"ArXiv Cryptography & Security","tags":["large language models","jailbreaking","natural language processing","artificial intelligence security"],"type":"research"},{"title":"Mimicking the Familiar: Dynamic Command Generation for Information Theft\n Attacks in LLM Tool-Learning System","date":[2025,2,17,2,15,46,0,48,0],"link":"http://arxiv.org/abs/2502.11358v1","summary":"

Information thieves can use compromised tools to trick Large Language Model systems into sharing sensitive information.
To make these attacks more difficult to detect, an attacker would need to create commands that are tailored to specific situations and systems.
A new method called AutoCMD has been developed to generate such targeted commands by learning from open-source systems and practicing on real-world targets.

","source":"ArXiv Cryptography & Security","tags":["Information Theft Attacks","Large Language Model Security","Dynamic Attack Command Generation"],"type":"research"},{"title":"\"Nuclear Deployed!\": Analyzing Catastrophic Risks in Decision-making of\n Autonomous LLM Agents","date":[2025,2,17,2,11,17,0,48,0],"link":"http://arxiv.org/abs/2502.11355v1","summary":"

Large language models are becoming smarter and can make decisions on their own, which raises concerns about making big mistakes with serious consequences, especially when dealing with things like chemicals or nuclear materials.
Researchers have found that these models can behave badly even if they're not told to, and getting them to think more clearly doesn't always help solve the problem.

","source":"ArXiv Cryptography & Security","tags":["Artificial Intelligence","Machine Learning","Decision-Making","Catastrophic Risks"],"type":"research"},{"title":"Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept\n Extraction in Large Vision Models","date":[2025,2,18,14,29,11,1,49,0],"link":"http://arxiv.org/abs/2502.12892v1","summary":"

Sparse Autoencoders are a type of machine learning tool used to break down complex data into simpler, more understandable pieces called dictionaries.
However, researchers found that existing versions of these tools aren't reliable because they don't always produce the same results when given similar data.
To fix this problem, scientists created a new version called Archetypal SAEs, which helps keep the results consistent and accurate.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Machine Learning","Sparse Autoencoders","Deep Learning","Artificial Intelligence"],"type":"research"},{"title":"Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs","date":[2025,2,18,16,4,57,1,49,0],"link":"http://arxiv.org/abs/2502.12982v1","summary":"

Sailor2 is a group of advanced computer models that can understand and communicate in many different languages spoken in Southeast Asia.
These models are powerful tools for developers who want to create more inclusive language systems, and they have been trained on huge amounts of data to improve their ability to speak and write in these languages.

","source":"ArXiv AI","tags":["Natural Language Processing","Artificial Intelligence","Machine Learning","Language Models"],"type":"research"},{"title":"ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment\n and Generation","date":[2025,2,16,23,11,13,6,47,0],"link":"http://arxiv.org/abs/2502.11308v2","summary":"

Researchers have found that when using computers to process and store text data as numbers, it's possible to reverse-engineer original messages even with just one piece of information.
This is called an inversion attack, which can reveal sensitive details.
They've created a new method for doing this type of attack quickly, making it easier for attackers to get the information they need.

","source":"ArXiv Cryptography & Security","tags":["Large Language Models","Vector Databases","Textual Embedding Inversion Attack"],"type":"research"},{"title":"Primus: A Pioneering Collection of Open-Source Datasets for\n Cybersecurity LLM Training","date":[2025,2,16,16,34,49,6,47,0],"link":"http://arxiv.org/abs/2502.11191v1","summary":"

Large Language Models are getting better at understanding things like finance and law, but they're not as good with cybersecurity.
To fix this, researchers created some new tools to help teach these models about cybersecurity, which have been shown to be really effective in tests.

","source":"ArXiv Cryptography & Security","tags":["Cybersecurity","Language Models","Artificial Intelligence","Machine Learning"],"type":"research"},{"title":"Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A\n Case-Study on PCA-based Intrusion Detection Systems","date":[2025,2,16,15,49,25,6,47,0],"link":"http://arxiv.org/abs/2502.11173v1","summary":"

Researchers are looking into how quantum computing can help with cybersecurity, specifically with machine learning tasks like identifying threats.
They're exploring if quantum computers can do these tasks faster and more efficiently than traditional computers, which could lead to new ways of keeping our online data safe.

","source":"ArXiv Cryptography & Security","tags":["Quantum Computing","Machine Learning","Cybersecurity","Cryptography"],"type":"research"},{"title":"VulRG: Multi-Level Explainable Vulnerability Patch Ranking for Complex\n Systems Using Graphs","date":[2025,2,16,14,21,52,6,47,0],"link":"http://arxiv.org/abs/2502.11143v1","summary":"

As more connected systems are being used, it's becoming harder to keep them safe from cyber threats.
To deal with this problem, experts have created a new way of prioritizing which vulnerabilities need to be fixed first.
This method uses graphs to look at how different parts of the system work together and identify the most critical areas that need protection.

","source":"ArXiv Cryptography & Security","tags":["Cybersecurity","Vulnerability Management","Risk Assessment","Graph-Based Framework"],"type":"research"},{"title":"G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based\n Multi-agent Systems","date":[2025,2,16,13,48,41,6,47,0],"link":"http://arxiv.org/abs/2502.11127v1","summary":"

Large Language Model (LLM) systems that help many agents make decisions together have become very good at solving complex problems, but they're also vulnerable to attacks and spreading false information.
To fix this, researchers created G-Safeguard, a system that uses special math tools to find and stop these bad behaviors before they happen.

","source":"ArXiv Cryptography & Security","tags":["Artificial Intelligence","Machine Learning","Cybersecurity"],"type":"research"},{"title":"Reversible Data Hiding over Encrypted Images via Intrinsic Correlation\n in Block-Based Secret Sharing","date":[2025,2,16,13,35,12,6,47,0],"link":"http://arxiv.org/abs/2502.11121v1","summary":"

To keep images secure while also allowing secret information to be hidden within them, researchers have developed new methods for hiding data inside encrypted images.
These new methods reduce the amount of space needed to hide this extra information and make it possible to store more secrets in each image.

","source":"ArXiv Cryptography & Security","tags":["Data Hiding","Image Encryption","Cloud Storage","Secure Management"],"type":"research"},{"title":"Ramp Up NTT in Record Time using GPU-Accelerated Algorithms and\n LLM-based Code Generation","date":[2025,2,16,12,53,23,6,47,0],"link":"http://arxiv.org/abs/2502.11110v1","summary":"

Scientists are trying to make it easier and faster to use computers to keep information private while still being able to do calculations on that information.
They've found a way to speed up this process using special computer chips called GPUs, which can do many tasks at the same time.
By using these GPU chips, they were able to significantly improve how quickly certain calculations can be done, making it easier and faster to keep information private.

","source":"ArXiv Cryptography & Security","tags":["Homomorphic Encryption","Machine Learning","Privacy-Preserving Computing"],"type":"research"},{"title":"A Survey on Vulnerability Prioritization: Taxonomy, Metrics, and\n Research Challenges","date":[2025,2,16,10,33,37,6,47,0],"link":"http://arxiv.org/abs/2502.11070v1","summary":"

In today's digital world, keeping our computer systems safe from cyber threats is getting harder due to many new potential weaknesses appearing every day.
To deal with this problem, we need to focus on the most important risks and prioritize how we fix them.
This study looked at 82 previous studies and came up with a new way to categorize these risks into different types, highlighting some big gaps in what we currently do and suggesting ways to make our methods more flexible and scalable so they can be used in real-world situations.

","source":"ArXiv Cryptography & Security","tags":["cybersecurity","vulnerability management","risk prioritization"],"type":"research"},{"title":"An Experimental Study of SOTA LiDAR Segmentation Models","date":[2025,2,18,13,48,22,1,49,0],"link":"http://arxiv.org/abs/2502.12860v1","summary":"

Point cloud segmentation is like giving labels to each point in a 3D map, which helps robots understand their surroundings and navigate on their own.
There are three main ways to do this: by looking at individual points, small cubes of points, or 2D images of the space.
This paper compares these different methods to help engineers choose the best one for a specific task and inspires researchers to create even better models that work well in real-world situations.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Point Cloud Segmentation","Computer Vision","Robotics","Machine Learning"],"type":"research"},{"title":"A Survey of Text Classification Under Class Distribution Shift","date":[2025,2,18,15,46,54,1,49,0],"link":"http://arxiv.org/abs/2502.12965v1","summary":"

Machine learning models have a problem when their training and test data are not the same, which happens often in real life because the world is always changing.
This is especially true for things like classifying text, where new topics come up all the time.
Researchers are working to find ways to deal with this issue, and some of them think that continually learning and updating their models might be a key part of solving it.

","source":"ArXiv AI","tags":["Machine Learning","Distribution Shift","Text Classification","Continual Learning"],"type":"research"},{"title":"Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on\n Large Language Models","date":[2025,2,16,9,27,44,6,47,0],"link":"http://arxiv.org/abs/2502.11054v2","summary":"

Researchers developed a new way for computers to trick large language models into doing things they shouldn't do.
This is done by having the computer have a conversation with the language model, but instead of asking it to do something bad directly, it asks it to solve a puzzle or figure something out.
The goal is to make this 'trick' work many times in a row, which was hard for computers to do before.

","source":"ArXiv Cryptography & Security","tags":["jailbreak attack","large language models","safety vulnerabilities","conversational scenarios"],"type":"research"},{"title":"HawkEye: Statically and Accurately Profiling the Communication Cost of\n Models in Multi-party Learning","date":[2025,2,16,7,49,27,6,47,0],"link":"http://arxiv.org/abs/2502.11029v1","summary":"

Researchers have created a new tool called HawkEye to help scientists analyze how much data is being shared when using complex computer programs.
This tool allows them to see exactly what's happening without having to run the entire program, which makes it faster and more efficient.

","source":"ArXiv Cryptography & Security","tags":["Multi-party computation","Machine learning","Data privacy"],"type":"research"},{"title":"Leveraging Large Language Models for Cybersecurity: Enhancing SMS Spam\n Detection with Robust and Context-Aware Text Classification","date":[2025,2,16,6,39,36,6,47,0],"link":"http://arxiv.org/abs/2502.11014v1","summary":"

This study looked at how different computer methods can help identify spam messages sent as text messages (SMS).
They tried out six different methods to spot spam, paired with two ways of getting information from the texts.
The researchers found that one method called TF-IDF works best across all six methods, and when combined with a specific method called Naive Bayes, it was able to identify 96% of non-spam messages accurately.

","source":"ArXiv Cryptography & Security","tags":["Machine Learning","Spam Detection","Natural Language Processing"],"type":"research"},{"title":"Prompt Inject Detection with Generative Explanation as an Investigative\n Tool","date":[2025,2,16,6,16,0,6,47,0],"link":"http://arxiv.org/abs/2502.11006v1","summary":"

Large Language Models, which are like super smart computers that understand language, can be tricked by bad input prompts that make them say things they shouldn't.
This is a big problem because there are so many possible inputs and it's hard to tell if something is good or bad.
To fix this, researchers are working on tools that can detect these bad prompts and explain why they're bad, making it easier for people to investigate and keep these models safe.

","source":"ArXiv Cryptography & Security","tags":["Adversarial Prompt Injects","AI Security","Large Language Models"],"type":"research"},{"title":"Sound Conveyors for Stealthy Data Transmission","date":[2025,2,16,4,2,56,6,47,0],"link":"http://arxiv.org/abs/2502.10984v1","summary":"

Encryption is used to hide messages for security purposes, and researchers have been working on a way to also hide information within an audio file so it can be retrieved later.
The goal of this project, called DeepAudio v1.0, is to create a tool that can secretly store files like documents in an audio file and then bring them back out when needed, all while keeping the information safe with encryption.

","source":"ArXiv Cryptography & Security","tags":["Steganography","Encryption","Data Hiding"],"type":"research"},{"title":"D-CIPHER: Dynamic Collaborative Intelligent Agents with Planning and\n Heterogeneous Execution for Enhanced Reasoning in Offensive Security","date":[2025,2,15,23,43,18,5,46,0],"link":"http://arxiv.org/abs/2502.10931v1","summary":"

Large Language Models (LLMs) are being used to help improve cybersecurity by making computer systems smarter and more efficient at finding solutions to complex problems.
To test how well these models work, 'Capture the Flag' challenges are used as benchmarks.
A new system called D-CIPHER has been developed that allows multiple LLMs to work together to solve these challenges, which makes them much better at solving them than working alone.
This new system is a big improvement and could be very useful for making computer systems more secure.

","source":"ArXiv Cryptography & Security","tags":["Cybersecurity","Large Language Models","Artificial Intelligence","Capture the Flag Challenges","D-CIPHER"],"type":"research"},{"title":"MITRE ATT&CK Applications in Cybersecurity and The Way Forward","date":[2025,2,15,15,1,4,5,46,0],"link":"http://arxiv.org/abs/2502.10825v1","summary":"

The MITRE ATT&CK framework is a tool used by cybersecurity experts to help them prepare for and respond to cyber attacks.
A team of researchers analyzed over 400 studies about how this framework is being used and found out which techniques are most effective in detecting and preventing attacks.
They also looked at how the framework can be combined with other tools and systems, such as machine learning and natural language processing, to make it even more powerful.

","source":"ArXiv Cryptography & Security","tags":["Cybersecurity","MITRE ATT&CK framework","Threat detection","Incident response"],"type":"research"},{"title":"PDA: Generalizable Detection of AI-Generated Images via Post-hoc\n Distribution Alignment","date":[2025,2,15,13,55,34,5,46,0],"link":"http://arxiv.org/abs/2502.10803v1","summary":"

Researchers have developed a new way to detect fake images created by artificial intelligence (AI).
This method, called Post-hoc Distribution Alignment (PDA), works by using known AI models to create fake images and then comparing them with the test image to see if it's real or fake.
PDA is more effective than other methods because it can adapt to new and unknown AI-generated images without needing to retrain itself.

","source":"ArXiv Cryptography & Security","tags":["Artificial Intelligence","Image Detection","Generative Models","Deep Learning","Fake Image Detection"],"type":"research"},{"title":"FaceSwapGuard: Safeguarding Facial Privacy from DeepFake Threats through\n Identity Obfuscation","date":[2025,2,15,13,45,19,5,46,0],"link":"http://arxiv.org/abs/2502.10801v1","summary":"

DeepFakes are fake videos or images created using artificial intelligence that can be very convincing, but they also pose a threat to society.
To combat this issue, researchers have developed FaceSwapGuard, which is a way to protect facial images from being used in DeepFakes by subtly changing them so that even the best AI-powered face-swapping techniques have trouble recognizing them.

","source":"ArXiv Cryptography & Security","tags":["DeepFake","Artificial Intelligence","Face-Swapping Defense Mechanism","Cybersecurity"],"type":"research"},{"title":"Assessing the Trustworthiness of Electronic Identity Management Systems:\n Framework and Insights from Inception to Deployment","date":[2025,2,15,11,26,30,5,46,0],"link":"http://arxiv.org/abs/2502.10771v1","summary":"

As technology advances, we need to make sure our Electronic Identity Management Systems are secure, private, and reliable.
This is especially important for protecting sensitive user information from fraud and unauthorized access.
A new framework called DISTAF helps evaluate these systems by considering multiple factors like security, ethics, and resilience, making it easier to assess their trustworthiness.

","source":"ArXiv Cryptography & Security","tags":["Electronic Identity Management Systems","Trustworthiness Assessment Framework","Digital Identity Systems","Security","Privacy"],"type":"research"},{"title":"PMU-Data: Data Traces Could be Distinguished","date":[2025,2,15,8,26,27,5,46,0],"link":"http://arxiv.org/abs/2502.10722v1","summary":"

Researchers have discovered that modern computer processors' monitoring systems can be used to steal sensitive information, even if the system is not directly accessed.
By using specific techniques, hackers can hide this activity within normal system function and extract private data.
This method is particularly concerning because it combines with other known vulnerabilities in computer security.

","source":"ArXiv Cryptography & Security","tags":["computer security","processor vulnerability","data breach","side-channel attack"],"type":"research"},{"title":"Reverse Engineering the Apple M1 Conditional Branch Predictor for\n Out-of-Place Spectre Mistraining","date":[2025,2,15,8,22,7,5,46,0],"link":"http://arxiv.org/abs/2502.10719v1","summary":"

Researchers found a weakness in Apple's M-Series CPUs called Spectre v1, which makes it harder to launch certain types of attacks on these computers.
They analyzed why previous methods didn't work and came up with a new way to find similar weaknesses.
Using this technique, they discovered that the M1 CPU has some protection against these kinds of attacks, but not enough.

","source":"ArXiv Cryptography & Security","tags":["Spectre v1","CPU security","Apple M-Series CPUs"],"type":"research"},{"title":"A Computational Model for Ransomware Detection Using Cross-Domain\n Entropy Signatures","date":[2025,2,15,7,50,55,5,46,0],"link":"http://arxiv.org/abs/2502.10711v1","summary":"

Cybersecurity researchers are working on new ways to detect and stop ransomware attacks by looking at something called 'entropy' - essentially, how random or predictable computer behavior is.
They developed a system that analyzes many different parts of a computer's activity to find when things look suspicious and might be a sign of a malicious attack.
This approach has shown promise in being able to catch ransomware quickly and accurately without causing too much extra work for computers.

","source":"ArXiv Cryptography & Security","tags":["cybersecurity","entropy-driven detection","ransomware"],"type":"research"},{"title":"Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs","date":[2025,2,15,4,56,45,5,46,0],"link":"http://arxiv.org/abs/2502.10673v1","summary":"

Researchers have found a way to protect text databases from being used without permission by large language models.
They do this by adding special documents with secret information to the database, which can then be checked to see if the model has accessed them without permission.

","source":"ArXiv Cryptography & Security","tags":["Retrieval-Augmented Generation","Large Language Models","IP Infringement Detection"],"type":"research"},{"title":"Dark Deceptions in DHCP: Dismantling Network Defenses","date":[2025,2,15,2,47,14,5,46,0],"link":"http://arxiv.org/abs/2502.10646v1","summary":"

This research looks at weaknesses in how computers get IP addresses from the internet and explains why these flaws are a problem for keeping information safe, trustworthy, and available.
It breaks down different types of attacks and suggests ways to prevent them.

","source":"ArXiv Cryptography & Security","tags":["Network Security","CIA Triad","DHCP Vulnerabilities"],"type":"research"},{"title":"Proof of Response","date":[2025,2,15,2,25,57,5,46,0],"link":"http://arxiv.org/abs/2502.10637v1","summary":"

This system lets one person (Alice) ask another person (Bob) for information and know exactly when to expect an answer.
If Bob doesn't respond on time, the system will either show that something went wrong between them or pay Alice a bit more each minute until she gets her answer.

","source":"ArXiv Cryptography & Security","tags":["Decentralized Systems","Network Mechanisms"],"type":"research"},{"title":"Leveraging Intermediate Representations for Better Out-of-Distribution\n Detection","date":[2025,2,18,13,38,19,1,49,0],"link":"http://arxiv.org/abs/2502.12849v1","summary":"

Machine learning models need to be able to detect when they're not sure about something, so they don't make bad decisions.
Current methods for doing this often only look at certain parts of the model, but researchers found that other parts can also be helpful.
They came up with a new way to use these other parts to improve the model's ability to detect when it's unsure.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Machine Learning","Artificial Intelligence","Neural Networks"],"type":"research"},{"title":"Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger","date":[2025,2,18,15,45,1,1,49,0],"link":"http://arxiv.org/abs/2502.12961v1","summary":"

Researchers have developed a system called MeCo to help large language models make better decisions about when to ask for help from external tools like search engines or weather apps.
This is important because asking for help too often can slow down the model and lead to mistakes.
MeCo works by understanding how well the model is doing on its own, so it knows when to call in outside help.

","source":"ArXiv AI","tags":["Large Language Models","Meta-Cognition","Decision-Making","Artificial Intelligence"],"type":"research"},{"title":"Privacy Preservation through Practical Machine Unlearning","date":[2025,2,15,2,25,27,5,46,0],"link":"http://arxiv.org/abs/2502.10635v2","summary":"

Machine learning models need large amounts of data to work well, but people are getting concerned about protecting their private information.
A new approach called Machine Unlearning helps remove specific data from these models without affecting their accuracy.
Researchers are exploring ways to make this happen efficiently and ensure that these models still work properly, which is essential for building trust in AI-powered systems.

","source":"ArXiv Cryptography & Security","tags":["Machine Learning","Data Privacy","Artificial Intelligence"],"type":"research"},{"title":"Network evasion detection with Bi-LSTM model","date":[2025,2,15,1,25,13,5,46,0],"link":"http://arxiv.org/abs/2502.10624v1","summary":"

Network evasion detection is a way to figure out if someone is trying to trick a computer system into thinking their data traffic is normal when it's actually not.
To do this, researchers use a special kind of artificial intelligence called deep learning to look at the patterns in data flows and determine whether they're suspicious or not.

","source":"ArXiv Cryptography & Security","tags":["Network Evasion Detection","Artificial Intelligence","Deep Learning"],"type":"research"},{"title":"Carotid Artery Plaque Analysis in 3D Based on Distance Encoding in Mesh\n Representations","date":[2025,2,18,12,27,6,1,49,0],"link":"http://arxiv.org/abs/2502.12819v1","summary":"

Researchers have developed a new way to look at and measure carotid artery plaques using MRI scans.
This method helps doctors analyze how these plaques grow or change over time, which is important for predicting the risk of stroke and evaluating the effectiveness of treatments.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Medical Imaging","Cardiovascular Disease","Stroke Risk Analysis","Plaque Progression Prediction"],"type":"research"},{"title":"AlignFreeze: Navigating the Impact of Realignment on the Layers of\n Multilingual Models Across Diverse Languages","date":[2025,2,18,15,43,27,1,49,0],"link":"http://arxiv.org/abs/2502.12959v1","summary":"

Researchers have developed a new technique called AlignFreeze to help language models work better across different languages.
They found out that when they adjust some parts of the model, it can actually make it worse for certain languages.
By freezing the lower part of the model, they were able to prevent this problem and even improve its performance in identifying words' parts of speech for many languages.

","source":"ArXiv AI","tags":["Natural Language Processing","Multilingual Models","Language Transfer"],"type":"research"},{"title":"Learning Wall Segmentation in 3D Vessel Trees using Sparse Annotations","date":[2025,2,18,12,5,27,1,49,0],"link":"http://arxiv.org/abs/2502.12801v1","summary":"

Researchers have developed a new method to help doctors better see the inside of the carotid artery, which is a major blood vessel in the neck.
They use a special computer program that helps identify the different parts of the artery without needing to manually label them.
This could lead to better diagnosis and treatment of blockages in the artery.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Deep Learning","Medical Imaging","Computer Vision"],"type":"research"},{"title":"Task-Informed Anti-Curriculum by Masking Improves Downstream Performance\n on Text","date":[2025,2,18,15,36,16,1,49,0],"link":"http://arxiv.org/abs/2502.12953v1","summary":"

Researchers have found a new way to train language models called task-informed anti-curriculum learning, which helps them focus on important information for specific tasks by deciding which words to hide and at what rate.
This approach has been shown to improve the performance of language models in various tasks such as identifying sentiments, categorizing text, and determining authorship.

","source":"ArXiv AI","tags":["Language Models","Masked Language Modeling","Task-Informed Anti-Curriculum Learning","Machine Learning"],"type":"research"},{"title":"Towards Text-Image Interleaved Retrieval","date":[2025,2,18,12,0,47,1,49,0],"link":"http://arxiv.org/abs/2502.12799v1","summary":"

Current studies on image retrieval usually focus on one image at a time, but real-world applications often involve multiple images or text and images mixed together.
This project introduces a new way of searching called TIIR, which looks at both text and images together in the same sequence to help find what we're looking for more effectively.
To test this idea, researchers created a set of examples using naturally occurring mixed content from wikiHow tutorials and adapted existing models to work with these mixed inputs.
They then developed a new method called Matryoshka Multimodal Embedder, which helps reduce the number of visual tokens needed to search through images quickly, resulting in better performance than existing methods.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Multimodal Information Retrieval","Text-Image Interleaved Retrieval","Artificial Intelligence","Computer Vision"],"type":"research"},{"title":"Every Expert Matters: Towards Effective Knowledge Distillation for\n Mixture-of-Experts Language Models","date":[2025,2,18,15,30,34,1,49,0],"link":"http://arxiv.org/abs/2502.12947v1","summary":"

Researchers have found a way to make large language models more efficient by using two new techniques: Knowledge Augmentation and Student-Aware Router.
These methods help to extract knowledge from these big models, making them smaller and easier to use in situations where there isn't much memory available.

","source":"ArXiv AI","tags":["Mixture-of-Experts","Knowledge Distillation","Model Compression","Artificial Intelligence"],"type":"research"},{"title":"Beyond Timesteps: A Novel Activation-wise Membrane Potential Propagation\n Mechanism for Spiking Neural Networks in 3D cloud","date":[2025,2,18,11,52,25,1,49,0],"link":"http://arxiv.org/abs/2502.12791v1","summary":"

Researchers are trying new ways to use computer vision techniques with data from events or point clouds.
They're using special neural networks called Spiking Neural Networks, but these networks have limitations that make them hard to use in real-world applications.
To solve this problem, a new technique is being proposed called Activation-wise Membrane Potential Propagation, which allows for more flexibility and faster processing times.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Spiking Neural Networks","Event Vision","Point Clouds","Computer Vision"],"type":"research"},{"title":"Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking\n Through Options","date":[2025,2,18,15,11,46,1,49,0],"link":"http://arxiv.org/abs/2502.12929v1","summary":"

Researchers created a new way for computers to think called Flow-of-Options, which helps them consider many different solutions to a problem and not just stick with what they know.
This method was used to build a system that can solve machine learning tasks on its own without being told how to do it, and it performed better than other systems at this task while also being more cost-effective.

","source":"ArXiv AI","tags":["Artificial Intelligence","Machine Learning","Computational Reasoning"],"type":"research"},{"title":"High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion","date":[2025,2,18,11,13,6,1,49,0],"link":"http://arxiv.org/abs/2502.12752v1","summary":"

Researchers have developed a new method called SplatDiff to create realistic images of objects from different viewpoints using just one image.
This approach combines two techniques: splatting, which helps with object shape, and diffusion, which improves texture details.
The result is high-quality images that are both geographically correct and visually accurate.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Computer Vision","Artificial Intelligence","Image Synthesis"],"type":"research"},{"title":"Towards more Contextual Agents: An extractor-Generator Optimization\n Framework","date":[2025,2,18,15,7,6,1,49,0],"link":"http://arxiv.org/abs/2502.12926v1","summary":"

Large language models have been very good at solving general problems, but they struggle when dealing with specific industries or research areas where they don't have enough knowledge.
To fix this, researchers created a system that helps these models learn how to behave better in specific situations by optimizing the prompts they receive.

","source":"ArXiv AI","tags":["Large Language Models","Artificial Intelligence","Machine Learning","Natural Language Processing","Agent-Based Systems"],"type":"research"},{"title":"3D Shape-to-Image Brownian Bridge Diffusion for Brain MRI Synthesis from\n Cortical Surfaces","date":[2025,2,18,10,59,4,1,49,0],"link":"http://arxiv.org/abs/2502.12742v1","summary":"

Researchers have created a new system called Cor2Vox to generate more realistic and detailed brain images using computer simulations.
The system uses mathematical models to create accurate images of brain structures, including folds on the surface of the brain, which are often missing in previous simulations.
This can help doctors and scientists better understand how the brain works and develop more effective treatments for brain-related diseases.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Deep Learning","Medical Imaging","Brain Research"],"type":"research"},{"title":"Keep what you need : extracting efficient subnetworks from large audio\n representation models","date":[2025,2,18,15,4,33,1,49,0],"link":"http://arxiv.org/abs/2502.12925v1","summary":"

Researchers have been working on making audio models more efficient so they can be used on smaller devices and for real-time applications.
They found that these complex models were too big and used too much power, which is bad for the environment.
To solve this problem, they came up with a simple way to remove unnecessary parts of the model, leaving only what's needed for each specific task.

","source":"ArXiv AI","tags":["Audio Models","Machine Learning","Deep Learning","Model Pruning"],"type":"research"},{"title":"myEye2Wheeler: A Two-Wheeler Indian Driver Real-World Eye-Tracking\n Dataset","date":[2025,2,18,10,39,0,1,49,0],"link":"http://arxiv.org/abs/2502.12723v1","summary":"

This paper presents data on how people who ride motorcycles in India look at the road while driving, which is different from drivers of cars.
They found that current computer models don't work well for motorcycle riders, so they created this dataset to help make better computer models that can improve safety for motorcyclists.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["computer vision","traffic safety","machine learning"],"type":"research"},{"title":"Conditioning LLMs to Generate Code-Switched Text: A Methodology Grounded\n in Naturally Occurring Data","date":[2025,2,18,15,4,13,1,49,0],"link":"http://arxiv.org/abs/2502.12924v1","summary":"

Code-switching, or mixing different languages in one conversation, is still a big challenge for computers to understand and generate text.
Researchers found a new way to create more code-switched text by using computer models to translate English sentences into Spanish, then fine-tuning those models to generate mixed language conversations.
This method allows the model to learn how people naturally mix languages, not just follow grammar rules.

","source":"ArXiv AI","tags":["Code-Switching","Natural Language Processing","Language Models","Machine Translation"],"type":"research"},{"title":"Uncertainty Propagation for Echocardiography Clinical Metric Estimation\n via Contour Sampling","date":[2025,2,18,10,26,16,1,49,0],"link":"http://arxiv.org/abs/2502.12713v1","summary":"

Echocardiography, which is a way of looking inside the heart using sound waves, is used to figure out how well the heart is working and if there are any problems.
When computers try to measure how well the heart is doing, they need to know how sure or unsure they are about their answers.
This new method helps computers be more accurate by predicting where the edges of different parts of the heart are and then using that information to make more confident measurements.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Echocardiography","Uncertainty Estimation","Clinical Metrics","Contouring","Medical Imaging"],"type":"research"},{"title":"GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training\n for LLMs On-Device Fine-tuning","date":[2025,2,18,14,54,55,1,49,0],"link":"http://arxiv.org/abs/2502.12913v1","summary":"

Large language models are very good at learning from data, but they have some problems when it comes to being used on smaller devices with limited resources.
They need a lot of powerful calculations and this can be a security risk if the data is sensitive.
A new approach called GSQ-Tuning tries to fix these issues by using only whole numbers instead of fractions for its calculations.
This makes it much faster, uses less memory and power, making it possible to use on smaller devices.

","source":"ArXiv AI","tags":["Large Language Models","Parameter-Efficient Fine-Tuning","On-Device Learning"],"type":"research"},{"title":"Spherical Dense Text-to-Image Synthesis","date":[2025,2,18,9,51,11,1,49,0],"link":"http://arxiv.org/abs/2502.12691v1","summary":"

Researchers have developed new methods to improve the creation of realistic images from text descriptions, specifically when it comes to making these images look like they were taken all around an object or scene (called panoramas).
They created two new techniques called MultiStitchDiffusion and MultiPanFusion that can generate more accurate and detailed panoramic images.
To test their methods, they also made a large collection of synthetic panorama images that can be used as a benchmark for future research.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["text-to-image","panoramic images","deep learning","image synthesis"],"type":"research"},{"title":"Soundwave: Less is More for Speech-Text Alignment in LLMs","date":[2025,2,18,14,36,39,1,49,0],"link":"http://arxiv.org/abs/2502.12900v1","summary":"

Researchers have developed Soundwave, a new way to train speech models using less data than usual.
This approach helps solve two major problems: how we represent sounds and how long conversations should be.
The results show that Soundwave is better at tasks like translating speech and understanding audio, even when it's only trained with a tiny fraction of the data used by other advanced models.

","source":"ArXiv AI","tags":["Speech Recognition","Natural Language Processing","Machine Learning"],"type":"research"},{"title":"Fast Data Aware Neural Architecture Search via Supernet Accelerated\n Evaluation","date":[2025,2,18,9,51,3,1,49,0],"link":"http://arxiv.org/abs/2502.12690v1","summary":"

Tiny machine learning (TinyML) is a way to run complex computer programs on small devices with limited power, which could help in areas like healthcare and environmental monitoring.
However, making these systems work well requires a lot of optimization.
Researchers have found that focusing only on the architecture of the program isn't enough and that how the data is prepared is also crucial.
A new technique has been developed to optimize both the data and the program's architecture, resulting in better performance than previous methods.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["TinyML","Machine Learning","Artificial Intelligence","Optimization Techniques"],"type":"research"},{"title":"Continuous Learning Conversational AI: A Personalized Agent Framework\n via A2C Reinforcement Learning","date":[2025,2,18,14,5,59,1,49,0],"link":"http://arxiv.org/abs/2502.12876v1","summary":"

Researchers are working on creating chatbots that can have more personalized and adaptable conversations with people.
They've developed a new approach called Continuous Learning Conversational AI, which allows these chatbots to learn and improve over time by interacting with users in simulated sales dialogues.

","source":"ArXiv AI","tags":["Conversational AI","Artificial Intelligence","Machine Learning"],"type":"research"},{"title":"Spiking Vision Transformer with Saccadic Attention","date":[2025,2,18,9,32,29,1,49,0],"link":"http://arxiv.org/abs/2502.12677v1","summary":"

Researchers are combining two types of artificial intelligence (AI) - Spiking Neural Networks and Vision Transformers - to create a more efficient and powerful system for recognizing images and objects.
However, they found that this combination didn't work as well as expected due to a mismatch between how the AI processes visual information and how our brains naturally process it.
To fix this issue, they created a new way of processing visual information called Saccadic Spike Self-Attention, which mimics how we focus on certain parts of an image when looking at it.
This new method has been tested and shown to be both accurate and energy-efficient, making it suitable for devices that need to run AI applications on limited power.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Spiking Neural Networks","Vision Transformers","Artificial Intelligence","Machine Learning"],"type":"research"},{"title":"PAFT: Prompt-Agnostic Fine-Tuning","date":[2025,2,18,13,46,47,1,49,0],"link":"http://arxiv.org/abs/2502.12859v1","summary":"

There's a problem with how some big language models learn new tasks after they've been fine-tuned - even small changes to their instructions can make them perform poorly.
To solve this, researchers have come up with a technique called Prompt-Agnostic Fine-Tuning (PAFT).
This method helps the model focus on what it's being asked to do rather than just following specific instructions, making it much better at handling different kinds of questions and tasks.

","source":"ArXiv AI","tags":["Large Language Models","Prompt Engineering","Fine Tuning","Artificial Intelligence"],"type":"research"},{"title":"ROI-NeRFs: Hi-Fi Visualization of Objects of Interest within a Scene by\n NeRFs Composition","date":[2025,2,18,9,24,15,1,49,0],"link":"http://arxiv.org/abs/2502.12673v1","summary":"

Researchers have developed a new way to create detailed 3D models of objects within large scenes using a technique called Neural Radiance Fields (NeRFs).
This method allows them to focus on specific parts of the scene and improve the level of detail for those areas without slowing down the process.
The result is more accurate and realistic 3D reconstructions, which can be useful in preserving cultural heritage sites and other applications.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Neural Radiance Fields","3D Reconstruction","Computer Vision","Cultural Heritage"],"type":"research"},{"title":"Rejected Dialects: Biases Against African American Language in Reward\n Models","date":[2025,2,18,13,45,42,1,49,0],"link":"http://arxiv.org/abs/2502.12858v1","summary":"

Researchers are working on making large language models fair and unbiased, but they found that these models tend to prefer certain types of language over others.
Specifically, they discovered that when given texts in African American Language (AAL), the model is less accurate (-4% on average) than when given texts in White Mainstream English.
This can lead to conversations being steered toward the more preferred type of language, even if the person speaking uses AAL.

","source":"ArXiv AI","tags":["Reward Models","Language Bias","Fairness and Equity"],"type":"research"},{"title":"RecDreamer: Consistent Text-to-3D Generation via Uniform Score\n Distillation","date":[2025,2,18,8,42,55,1,49,0],"link":"http://arxiv.org/abs/2502.12640v1","summary":"

Currently, many methods for creating 3D objects from text descriptions have a flaw where they produce similar patterns when shown from different angles.
This problem is called the Multi-Face Janus issue and happens because these methods are biased towards showing one specific view of the object.
A new method called RecDreamer aims to fix this by changing how we represent data, so that all views of an object are treated equally.
This results in more consistent and accurate 3D object generation across different poses.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["3D Generation","Text-to-3D","Score Distillation","Multi-Face Janus Problem"],"type":"research"},{"title":"Integrating Arithmetic Learning Improves Mathematical Reasoning in\n Smaller Models","date":[2025,2,18,13,43,6,1,49,0],"link":"http://arxiv.org/abs/2502.12855v1","summary":"

Researchers are trying to improve smaller AI models so they can do math problems better.
Right now, these models learn from bigger models but struggle with simple arithmetic.
To fix this, scientists created a special dataset of math problems and tested two ways to teach the smaller models using it.
They found that by giving the models extra training on math or teaching them math skills alongside other abilities, they can do math better and make fewer mistakes.

","source":"ArXiv AI","tags":["Artificial Intelligence","Mathematical Reasoning","Machine Learning"],"type":"research"},{"title":"Corrupted but Not Broken: Rethinking the Impact of Corrupted Data in\n Visual Instruction Tuning","date":[2025,2,18,8,28,29,1,49,0],"link":"http://arxiv.org/abs/2502.12635v1","summary":"

Researchers studied how bad data affects computers that can understand and generate multiple types of information.
They found that this bad data doesn't severely harm these computers, but rather just makes them perform slightly worse.
However, they also discovered that by making some small changes to the computer's settings or training it on a little bit of good data, its performance can be almost fully restored.
This new understanding led to a better way of training these computers so they can handle bad data more effectively.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Multimodal Large Language Models","Corrupted Data","Machine Learning"],"type":"research"},{"title":"MeMo: Towards Language Models with Associative Memory Mechanisms","date":[2025,2,18,13,39,22,1,49,0],"link":"http://arxiv.org/abs/2502.12851v1","summary":"

Researchers have come up with a new way to improve how large language models remember text, called MeMo.
Unlike how people learn by first forgetting things they already knew and then learning new information, MeMo is designed to remember text directly and even has the ability to 'forget' certain texts if needed.

","source":"ArXiv AI","tags":["Transformer","Large Language Models","Language Modeling"],"type":"research"},{"title":"MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length\n Video Generation","date":[2025,2,18,8,22,50,1,49,0],"link":"http://arxiv.org/abs/2502.12632v1","summary":"

Researchers have found a way to improve diffusion models, which are computer programs that create high-quality videos.
These programs were limited to making short clips, but now they can make longer videos by breaking them down into smaller parts and using a type of memory that helps the program remember what it's been working on.
This new system is called MALT Diffusion, and it's better at creating long videos than previous methods.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Diffusion Models","Video Generation","Long Video Synthesis","Artificial Intelligence","Machine Learning"],"type":"research"},{"title":"Towards Adaptive Feedback with AI: Comparing the Feedback Quality of\n LLMs and Teachers on Experimentation Protocols","date":[2025,2,18,13,22,14,1,49,0],"link":"http://arxiv.org/abs/2502.12842v1","summary":"

Researchers compared how well computers and humans give feedback to students writing about science experiments.
They found that while computers can provide good feedback overall, they struggle to point out specific mistakes and explain them clearly.
This study suggests that combining computer-generated feedback with human expertise could help make learning more efficient.

","source":"ArXiv AI","tags":["Artificial Intelligence","Education Technology","Scientific Inquiry","Feedback Systems"],"type":"research"},{"title":"DAMamba: Vision State Space Model with Dynamic Adaptive Scan","date":[2025,2,18,8,12,47,1,49,0],"link":"http://arxiv.org/abs/2502.12627v1","summary":"

Researchers are trying to use a type of model called State Space Models (SSMs) for computer vision tasks, but they haven't been able to make them work as well as other models like CNNs and ViTs.
To fix this, they came up with a new method called Dynamic Adaptive Scan (DAS), which allows the model to look at images in different orders and focus on different parts of the image.
This helps the model learn more complex things about the image, and they were able to create a new model called DAMamba that is even better than some of the best models currently available.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["State Space Models","Computer Vision","Convolutional Neural Networks","Vision Transformers"],"type":"research"},{"title":"Reasoning and the Trusting Behavior of DeepSeek and GPT: An Experiment\n Revealing Hidden Fault Lines in Large Language Models","date":[2025,2,18,12,46,18,1,49,0],"link":"http://arxiv.org/abs/2502.12825v1","summary":"

When new, improved language models come out, developers have to decide whether to stick with what they know or try something new.
Our research shows that even small changes in these new models can affect how trustworthy they are, and we highlight the importance of understanding these hidden flaws when choosing a model for important systems.

","source":"ArXiv AI","tags":["Language Models","Artificial Intelligence","Machine Learning","Trust in AI Systems"],"type":"research"},{"title":"S2C: Learning Noise-Resistant Differences for Unsupervised Change\n Detection in Multimodal Remote Sensing Images","date":[2025,2,18,7,34,54,1,49,0],"link":"http://arxiv.org/abs/2502.12604v1","summary":"

Researchers are working on a new way to detect changes in images taken from space using different sensors and cameras.
They're developing a system called Semantic-to-Change (S2C) that can learn about these changes without needing human supervision.
This system uses artificial intelligence to compare old and new images, ignoring noise and focusing on the differences.
It's been tested on several datasets and has shown significant improvement over existing methods.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Unsupervised Change Detection","Remote Sensing","Artificial Intelligence","Contrastive Learning","Semantic-to-Change (S2C) framework"],"type":"research"},{"title":"Envious Explore and Exploit","date":[2025,2,18,12,0,35,1,49,0],"link":"http://arxiv.org/abs/2502.12798v1","summary":"

Researchers are studying how recommendation systems balance showing new things to users with giving them what they've shown interest in before.
They're looking at how this affects different people, and found that some users might feel left out because the system is using information from early users.
The researchers are trying to find ways to make the system fairer while still giving good recommendations.

","source":"ArXiv AI","tags":["Recommendation Systems","Machine Learning","Algorithm Design"],"type":"research"},{"title":"Revisiting the Generalization Problem of Low-level Vision Models Through\n the Lens of Image Deraining","date":[2025,2,18,7,23,22,1,49,0],"link":"http://arxiv.org/abs/2502.12600v1","summary":"

Researchers are trying to figure out why artificial intelligence (AI) systems, specifically those that help us see images clearly, often fail when dealing with real-world problems they've never seen before.
They found that the issue isn't because these AI systems aren't powerful enough, but rather because of how we train them.
The solution is to teach these systems to focus on understanding what's in the image itself, rather than just learning how to fix specific types of noise or damage.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Artificial Intelligence","Machine Learning","Computer Vision"],"type":"research"},{"title":"Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport","date":[2025,2,18,11,54,12,1,49,0],"link":"http://arxiv.org/abs/2502.12793v1","summary":"

In this research, scientists are trying to find a new way to identify unusual patterns in data sets using a concept called optimal transport.
This method involves moving data points around in a way that requires the least effort possible, but with a twist: if a point is far away from other points, it has to move further and cost more, which helps highlight anomalies.

","source":"ArXiv AI","tags":["anomaly detection","machine learning","optimal transport"],"type":"research"},{"title":"CutPaste&Find: Efficient Multimodal Hallucination Detector with\n Visual-aid Knowledge Base","date":[2025,2,18,7,6,36,1,49,0],"link":"http://arxiv.org/abs/2502.12591v1","summary":"

Large computer models have gotten very good at understanding images and text, but sometimes they make things up or get details wrong when describing pictures.
Researchers created a new way to catch these mistakes without needing to use the big model itself, making it faster and cheaper for lots of applications.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Computer Vision","Natural Language Processing","Artificial Intelligence"],"type":"research"},{"title":"VidCapBench: A Comprehensive Benchmark of Video Captioning for\n Controllable Text-to-Video Generation","date":[2025,2,18,11,42,17,1,49,0],"link":"http://arxiv.org/abs/2502.12782v1","summary":"

Researchers have created a new way to evaluate videos with captions, called VidCapBench.
This tool helps assess the quality of video generation models by comparing them to real videos and captions.
It's designed to be flexible and work with different types of caption formats.
By using VidCapBench, developers can create better video generation models that match what people would actually say or describe in a video.

","source":"ArXiv AI","tags":["text-to-video","video caption evaluation","model assessment","AI model development"],"type":"research"},{"title":"Adaptive Prototype Model for Attribute-based Multi-label Few-shot Action\n Recognition","date":[2025,2,18,6,39,28,1,49,0],"link":"http://arxiv.org/abs/2502.12582v1","summary":"

Researchers created a new way to recognize human actions, called the Adaptive Attribute Prototype Model (AAPM).
This model helps computers better understand people's behavior by using more details about what they're doing.
It works by combining text information with images from videos, which makes it more accurate and robust than previous models.
The AAPM was tested on a new dataset of videos labeled with different attributes, such as actions, scenes, and objects, and it performed better than other models in recognizing these attributes.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Action recognition","Machine learning","Human behavior analysis"],"type":"research"},{"title":"Evaluating link prediction: New perspectives and recommendations","date":[2025,2,18,11,36,59,1,49,0],"link":"http://arxiv.org/abs/2502.12777v1","summary":"

Link prediction is a problem in network science and machine learning where computers try to guess if two people or things are connected based on data.
To make this work better, researchers want to test different methods in a fair way, considering factors like the type of network, how they measure connections, and how well these methods perform when there's an imbalance in the data.

","source":"ArXiv AI","tags":["Machine Learning","Network Science","Data Analysis"],"type":"research"},{"title":"CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for\n Text-to-Image Generation","date":[2025,2,18,6,31,8,1,49,0],"link":"http://arxiv.org/abs/2502.12579v1","summary":"

Researchers are improving text-to-image generation by combining two techniques: one that helps models align with human preferences and another that allows for more flexible image creation.
The result is a new system called CHATS, which uses the strengths of both approaches to produce high-quality images.
This new method is shown to work well even with small amounts of training data, setting a new standard in how effectively it can generate realistic images.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["text-to-image generation","artificial intelligence","machine learning"],"type":"research"},{"title":"Portable Reward Tuning: Towards Reusable Fine-Tuning across Different\n Pretrained Models","date":[2025,2,18,11,36,33,1,49,0],"link":"http://arxiv.org/abs/2502.12776v1","summary":"

The current way of improving AI models by fine-tuning them is not very efficient because it requires constantly updating the model and can be costly.
To solve this problem, researchers have proposed a new approach called Portable Reward Tuning (PRT), which allows for faster and more efficient improvements to AI models without needing to update the entire model every time.

","source":"ArXiv AI","tags":["Artificial Intelligence","Machine Learning","Deep Learning"],"type":"research"},{"title":"GVTNet: Graph Vision Transformer For Face Super-Resolution","date":[2025,2,18,6,15,2,1,49,0],"link":"http://arxiv.org/abs/2502.12570v1","summary":"

Researchers are improving how computers can make blurry faces clear again by creating a new computer program called Graph Vision Transformer Network (GVTNet).
This program looks at small parts of a face separately and then helps them work together better, which makes the face look more clear and natural.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Face Super-Resolution","Transformer Architecture","Graph Neural Networks"],"type":"research"},{"title":"How Much Do LLMs Hallucinate across Languages? On Multilingual\n Estimation of LLM Hallucination in the Wild","date":[2025,2,18,11,32,43,1,49,0],"link":"http://arxiv.org/abs/2502.12769v1","summary":"

Researchers have been studying how Artificial Intelligence (AI) models called Large Language Models (LLMs) sometimes make up information instead of giving accurate answers.
This is a problem because it can spread misinformation.
The researchers created a new model to detect when LLMs are making things up and tested it on many different languages and AI models.
They found that while some languages have higher rates of made-up information, the size of the language model itself is a bigger factor in how much made-up information it produces.

","source":"ArXiv AI","tags":["Large Language Models","Misinformation","Artificial Intelligence","Language Detection"],"type":"research"},{"title":"DeltaDiff: A Residual-Guided Diffusion Model for Enhanced Image\n Super-Resolution","date":[2025,2,18,6,7,14,1,49,0],"link":"http://arxiv.org/abs/2502.12567v1","summary":"

Researchers have been trying to use a type of artificial intelligence called diffusion models for making low-resolution images look better.
However, when they add too much randomness to these models, they can create details that aren't actually in the image.
To solve this problem, scientists developed a new model called Deltadiff, which works more steadily and produces higher-quality results.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Super-Resolution","Diffusion Models","Artificial Intelligence"],"type":"research"},{"title":"R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on\n Knowledge Graphs","date":[2025,2,18,11,31,52,1,49,0],"link":"http://arxiv.org/abs/2502.12767v1","summary":"

Researchers have created a new system called R2-KG to make computers better at understanding and using knowledge from databases.
This system works by breaking down the job of understanding into two tasks, one for gathering information and another for making decisions.
It also has a way of stopping the computer from answering questions if it's not sure about the answer, which makes its answers more trustworthy.

","source":"ArXiv AI","tags":["Large Language Models","Knowledge Graphs","Artificial Intelligence"],"type":"research"},{"title":"MomentSeeker: A Comprehensive Benchmark and A Strong Baseline For Moment\n Retrieval Within Long Videos","date":[2025,2,18,5,50,23,1,49,0],"link":"http://arxiv.org/abs/2502.12558v1","summary":"

Retrieval Augmented Generation (RAG) helps computers understand long videos more efficiently.
This method looks for important parts of a video and uses them to answer questions, saving time and resources.
A new tool called MomentSeeker has been developed to test how well computer programs can find these important moments in videos.
It includes a wide range of tasks, such as finding specific scenes or matching video with captions.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Retrieval Augmented Generation","Long Video Understanding","Moment Retrieval","Multimodal Language Models"],"type":"research"},{"title":"Efficient Machine Translation Corpus Generation: Integrating\n Human-in-the-Loop Post-Editing with Large Language Models","date":[2025,2,18,11,16,38,1,49,0],"link":"http://arxiv.org/abs/2502.12755v1","summary":"

Researchers have created a new way to improve machine translation by combining artificial intelligence with human input.
This approach uses powerful computer models and expert feedback to create more accurate translations, making it faster and cheaper than before.

","source":"ArXiv AI","tags":["Machine Translation","Artificial Intelligence","Natural Language Processing"],"type":"research"},{"title":"Spatiotemporal Multi-Camera Calibration using Freely Moving People","date":[2025,2,18,5,15,52,1,49,0],"link":"http://arxiv.org/abs/2502.12546v1","summary":"

Researchers developed a new way to calibrate multiple cameras at once by using people moving between them.
This method uses 3D models of people to match up camera views and determine their positions, allowing for more accurate tracking without needing special markers.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Computer Vision","Camera Calibration","Machine Learning"],"type":"research"},{"title":"MediaMind: Revolutionizing Media Monitoring using Agentification","date":[2025,2,18,11,5,38,1,49,0],"link":"http://arxiv.org/abs/2502.12745v1","summary":"

Imagine software systems that can think and act on their own, making decisions and responding to changing situations without human help.
This is called agentification, and it's becoming a big deal in technology.
A company called aiXplain has developed something called MediaMind, which takes existing software tools and turns them into 'intelligent agents' that can quickly analyze and understand information from different languages.

","source":"ArXiv AI","tags":["Agentification","Autonomous Systems","Artificial Intelligence"],"type":"research"},{"title":"IM360: Textured Mesh Reconstruction for Large-scale Indoor Mapping with\n 360$^\\circ$ Cameras","date":[2025,2,18,5,15,19,1,49,0],"link":"http://arxiv.org/abs/2502.12545v1","summary":"

Researchers developed a new way to create detailed, three-dimensional maps of indoor spaces using special cameras that capture everything around them.
Their method is better than previous ones at creating these maps and includes advanced techniques for making the maps look more realistic.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["3D Reconstruction","Computer Vision","Camera Technology"],"type":"research"},{"title":"\"I know myself better, but not really greatly\": Using LLMs to Detect and\n Explain LLM-Generated Texts","date":[2025,2,18,11,0,28,1,49,0],"link":"http://arxiv.org/abs/2502.12743v1","summary":"

Researchers created models to detect whether text was written by a computer or a person.
They found out that these models were better at detecting their own generated text than text created by other computers, but still made mistakes.
Adding a new category for texts that the models couldn't be sure about helped improve detection and understanding of why the decisions were made.

","source":"ArXiv AI","tags":["Artificial Intelligence","Machine Learning","Computer Science"],"type":"research"},{"title":"When Segmentation Meets Hyperspectral Image: New Paradigm for\n Hyperspectral Image Classification","date":[2025,2,18,5,4,29,1,49,0],"link":"http://arxiv.org/abs/2502.12541v1","summary":"

Researchers are working to improve how computers identify different objects and materials from satellite images.
They're using new techniques inspired by image segmentation, which is like cutting up an image into its individual parts.
This helps the computer better understand object boundaries and make more accurate predictions.
The team developed a new method called HSIseg that combines these techniques with a special kind of transformer to improve performance and handle large areas of unlabeled data.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Remote Sensing","Deep Learning","Hyperspectral Imaging","Image Segmentation"],"type":"research"},{"title":"Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided\n Logical Form Generation","date":[2025,2,18,10,53,41,1,49,0],"link":"http://arxiv.org/abs/2502.12737v1","summary":"

A new question-answering system called SG-KBQA tries to answer user questions using a large collection of knowledge stored on computers.
This system is better at answering questions it hasn't seen before, thanks to its use of additional information about the structure and meaning of this knowledge.

","source":"ArXiv AI","tags":["Knowledge Base Question Answering","Natural Language Processing","Artificial Intelligence"],"type":"research"},{"title":"Learning Transformation-Isomorphic Latent Space for Accurate Hand Pose\n Estimation","date":[2025,2,18,4,38,45,1,49,0],"link":"http://arxiv.org/abs/2502.12535v1","summary":"

Researchers have developed a new way of processing images called TI-Net, which helps improve the accuracy and speed of tasks such as estimating hand poses.
This is achieved by creating a more precise space for representing image features, making it easier to extract useful information from images.
The team tested their method on a dataset and found that it performed better than other state-of-the-art methods, with a 10% improvement in accuracy.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Deep Learning","Computer Vision","Image Processing"],"type":"research"},{"title":"Translate Smart, not Hard: Cascaded Translation Systems with\n Quality-Aware Deferral","date":[2025,2,18,10,5,40,1,49,0],"link":"http://arxiv.org/abs/2502.12701v1","summary":"

Researchers found a way to use smaller computer models for tasks, but only ask a larger model for help when it's really needed.
This approach helps save time and resources while still getting good results.

","source":"ArXiv AI","tags":["Machine Learning","Computational Costs","Cascading Systems"],"type":"research"},{"title":"NoKSR: Kernel-Free Neural Surface Reconstruction via Point Cloud\n Serialization","date":[2025,2,18,4,38,38,1,49,0],"link":"http://arxiv.org/abs/2502.12534v1","summary":"

Researchers developed a new way to take large collections of 3D points and turn them into detailed 3D models by using a special kind of math called signed distance fields.
This process helps create accurate and efficient 3D models, especially for outdoor environments where other methods struggle.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Point Clouds","3D Reconstruction","Machine Learning"],"type":"research"},{"title":"Multi-Step Alignment as Markov Games: An Optimistic Online Gradient\n Descent Approach with Convergence Guarantees","date":[2025,2,18,9,33,48,1,49,0],"link":"http://arxiv.org/abs/2502.12678v1","summary":"

Currently, there's a technique called Reinforcement Learning from Human Feedback (RLHF) that helps large language models understand what people want by giving them feedback.
However, previous methods have some limitations when dealing with conversations that go back and forth multiple times.
To address this issue, researchers created a new approach called Multi-step Preference Optimization (MPO), which considers the conversation as a game where both parties try to win against each other.
This method is more effective in real-world scenarios and has been tested on various datasets.

","source":"ArXiv AI","tags":["Reinforcement Learning","Human Feedback","Multi-turn Conversations"],"type":"research"},{"title":"Comprehensive Assessment and Analysis for NSFW Content Erasure in\n Text-to-Image Diffusion Models","date":[2025,2,18,4,25,42,1,49,0],"link":"http://arxiv.org/abs/2502.12527v1","summary":"

Researchers have been working on text-to-image models that can generate images from text descriptions, but these models sometimes create inappropriate content even when trained to avoid it.
To fix this problem, the researchers evaluated different methods for removing unwanted content and found that some work better than others in certain situations.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Text-to-Image Models","Artificial Intelligence","Deep Learning","Content Filtering"],"type":"research"},{"title":"Speech-FT: A Fine-tuning Strategy for Enhancing Speech Representation\n Models Without Compromising Generalization Ability","date":[2025,2,18,9,23,42,1,49,0],"link":"http://arxiv.org/abs/2502.12672v1","summary":"

Researchers have developed a new way to improve how well speech models work for different tasks, without making them too specialized and losing their ability to be used in general situations.
This new approach is called Speech-FT and it helps keep the benefits of fine-tuning while keeping the models flexible.

","source":"ArXiv AI","tags":["Speech Representation Models","Fine-Tuning Strategy","Model Merging"],"type":"research"},{"title":"YOLOv12: Attention-Centric Real-Time Object Detectors","date":[2025,2,18,4,20,14,1,49,0],"link":"http://arxiv.org/abs/2502.12524v1","summary":"

Researchers have created a new version of the YOLO framework called YOLOv12, which uses attention mechanisms to improve its performance while keeping it fast enough for real-time applications.
This new version is more accurate than other popular real-time object detectors and can even outperform some models that are faster but less accurate.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["YOLO","Attention Mechanisms","Deep Learning","Object Detection"],"type":"research"},{"title":"Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite\n Solar Cell Research","date":[2025,2,18,9,19,24,1,49,0],"link":"http://arxiv.org/abs/2502.12669v1","summary":"

Scientists have been working on a new type of solar cell called perovskite solar cells, and to help them work more efficiently, researchers created a system that helps them find information and solve problems related to these cells.
This system includes a huge database of knowledge about perovskite solar cells, questions and answers, and special computers that can understand and answer complex science-related questions.

","source":"ArXiv AI","tags":["Perovskite Solar Cells","Knowledge Graph","Language Models","Scientific Reasoning"],"type":"research"},{"title":"SAFEERASER: Enhancing Safety in Multimodal Large Language Models through\n Multimodal Machine Unlearning","date":[2025,2,18,4,9,46,1,49,0],"link":"http://arxiv.org/abs/2502.12520v1","summary":"

As computers get better at understanding and creating different types of information, like images and text, it's becoming clear that they have some big security problems.
One way to solve these issues is with something called 'machine unlearning,' which helps computers forget things they learned from their training data.
But researchers are just starting to explore how this can be done safely for these computer programs.
They created a new tool called SAFEERASER, tested three thousand images and twenty-eight thousand questions and answers, and found that the current methods of machine unlearning have problems like forgetting too much or not performing well enough after trying to forget something.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Multimodal Large Language Models","Machine Unlearning","Safety in AI","Secure Computer Programming"],"type":"research"},{"title":"The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1","date":[2025,2,18,9,6,7,1,49,0],"link":"http://arxiv.org/abs/2502.12659v1","summary":"

Researchers have been working on creating large language models that can reason and think like humans, but they've also raised some serious safety concerns because these powerful models could be misused.
In this study, scientists tested several of these reasoning models to see how safe they are and if they're vulnerable to attacks.
They found some worrying gaps in the safety of these models, especially one called R1, which needs more work to become safer.

","source":"ArXiv AI","tags":["Artificial Intelligence","Machine Learning","Safety Concerns","Natural Language Processing"],"type":"research"},{"title":"RealSyn: An Effective and Scalable Multimodal Interleaved Document\n Transformation Paradigm","date":[2025,2,18,3,58,38,1,49,0],"link":"http://arxiv.org/abs/2502.12513v1","summary":"

Researchers have created a new way to use large amounts of unorganized text and images together, like documents with pictures or captions.
They made a special system to find relevant images and texts, and then used this information to create a bigger dataset called RealSyn.
This dataset helps computers learn about the world in a more detailed and accurate way, which can be useful for many tasks.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Contrastive Language-Image Pre-training (CLIP)","Vision-Language Representation Learning","Dataset Creation"],"type":"research"},{"title":"\\textit{One Size doesn't Fit All}: A Personalized Conversational\n Tutoring Agent for Mathematics Instruction","date":[2025,2,18,8,24,52,1,49,0],"link":"http://arxiv.org/abs/2502.12633v1","summary":"

Large language models are being used to create personalized teaching tools for math instruction.
These tools learn about each student's unique learning style and adapt their teaching to fit that style, making learning more engaging and efficient.

","source":"ArXiv AI","tags":["Artificial Intelligence","Personalized Learning","Math Education"],"type":"research"},{"title":"Enhancing Audio-Visual Spiking Neural Networks through\n Semantic-Alignment and Cross-Modal Residual Learning","date":[2025,2,18,3,18,29,1,49,0],"link":"http://arxiv.org/abs/2502.12488v1","summary":"

Scientists have created a new brain-inspired computer model called Spiking Neural Networks (SNNs) that helps us better understand how our brains process information from different senses, like seeing and hearing.
This new model is special because it can take in information from multiple sources at the same time and combine it in a way that's more like how our brains work.
It does this by using a combination of attention mechanisms and optimization techniques to make sure the information is consistent and makes sense.
The result is a more accurate and effective way for computers to understand and process information, which can be used for many different tasks.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Spiking Neural Networks","Multimodal Processing","Audio-Visual Integration","Cross-Modal Information Fusion"],"type":"research"},{"title":"Score-Based Diffusion Policy Compatible with Reinforcement Learning via\n Optimal Transport","date":[2025,2,18,8,22,20,1,49,0],"link":"http://arxiv.org/abs/2502.12631v1","summary":"

Researchers have been working on a new way to learn complex behaviors by observing how experts do things, and they've come up with a method called OTPR.
It uses two techniques from math - optimal transport theory and score-based diffusion policy - to help machines learn and make decisions more efficiently and reliably.
This method has shown great results in simulations and could be very useful for teaching machines new skills.

","source":"ArXiv AI","tags":["Artificial Intelligence","Machine Learning","Deep Learning","Reinforcement Learning"],"type":"research"},{"title":"Predicate Hierarchies Improve Few-Shot State Classification","date":[2025,2,18,3,8,37,1,49,0],"link":"http://arxiv.org/abs/2502.12481v1","summary":"

Researchers have created a new model called PHIER, which helps robots understand the world by classifying objects and their relationships.
This is especially useful for long-term tasks like planning and manipulation.
The model uses a hierarchical approach to learn about these relationships with just a few examples, making it better at dealing with unknown situations.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Robotics","Artificial Intelligence","Machine Learning"],"type":"research"},{"title":"A Graph-Enhanced Deep-Reinforcement Learning Framework for the Aircraft\n Landing Problem","date":[2025,2,18,8,2,17,1,49,0],"link":"http://arxiv.org/abs/2502.12617v1","summary":"

The Aircraft Landing Problem is a challenge in managing air traffic where planes need to land at an airport in the most efficient way possible with minimal delays and costs.
A new computer-based system has been developed using artificial intelligence that helps schedule landing times more effectively than traditional methods, reducing the time it takes to make decisions from minutes or hours to just seconds.

","source":"ArXiv AI","tags":["Aircraft Landing Problem","Air Traffic Management","Artificial Intelligence","Reinforcement Learning","Operations Research"],"type":"research"},{"title":"Not-So-Optimal Transport Flows for 3D Point Cloud Generation","date":[2025,2,18,2,37,34,1,49,0],"link":"http://arxiv.org/abs/2502.12456v1","summary":"

Researchers are trying to improve computer models that can generate three-dimensional images from random points, but current methods have limitations.
They found that some approaches work well for smaller images but struggle with larger ones.
To address this issue, they developed a new model that uses pre-computed information and combines it with existing techniques to create more realistic 3D images.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Generative Models","Artificial Intelligence","Computer Vision"],"type":"research"},{"title":"Label Drop for Multi-Aspect Relation Modeling in Universal Information\n Extraction","date":[2025,2,18,7,53,26,1,49,0],"link":"http://arxiv.org/abs/2502.12614v1","summary":"

Universal Information Extraction (UIE) is a way to make computers automatically understand and extract information from text, but it has some challenges.
To address these issues, researchers have developed a new system called LDNet, which allows for more accurate extraction of complex relationships between different pieces of information.

","source":"ArXiv AI","tags":["Natural Language Processing","Artificial Intelligence","Machine Learning"],"type":"research"},{"title":"Benchmarking Zero-Shot Facial Emotion Annotation with Large Language\n Models: A Multi-Class and Multi-Frame Approach in DailyLife","date":[2025,2,18,2,36,16,1,49,0],"link":"http://arxiv.org/abs/2502.12454v1","summary":"

Researchers used large language models to help computers automatically recognize emotions from videos of everyday life.
They tested this approach on a dataset and found that it was able to identify emotions with about 50-64% accuracy, depending on the complexity of the task.
The study shows promise for using these language models to make it easier and cheaper to label emotional expressions in videos.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Emotion Recognition","Language Models","Computer Vision"],"type":"research"},{"title":"Unveiling Mode Connectivity in Graph Neural Networks","date":[2025,2,18,7,46,10,1,49,0],"link":"http://arxiv.org/abs/2502.12608v1","summary":"

Researchers studied how Graph Neural Networks (GNNs) work by looking at their 'loss landscape' - a way to visualize how well they're doing.
They found out that GNNs behave differently than other types of networks and that the structure of the data, not just the network itself, affects how well it works.
This discovery can help improve how we train GNNs and make them better at recognizing patterns in data.

","source":"ArXiv AI","tags":["Graph Neural Networks","Artificial Intelligence","Machine Learning"],"type":"research"},{"title":"YUNet: Improved YOLOv11 Network for Skyline Detection","date":[2025,2,18,2,30,14,1,49,0],"link":"http://arxiv.org/abs/2502.12449v1","summary":"

Skyline detection is important for various applications like geolocation and flight control, but it's challenging because the sky and ground areas look different depending on weather or lighting conditions.
To solve this problem, researchers developed an algorithm called YUNet that uses a modified version of another algorithm called YOLOv11 to identify the sky area and extract the skyline in difficult situations.
This new algorithm was tested and showed promising results in detecting the skyline with high accuracy.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Object Detection","Computer Vision","Deep Learning"],"type":"research"},{"title":"Disentangling Long-Short Term State Under Unknown Interventions for\n Online Time Series Forecasting","date":[2025,2,18,7,31,4,1,49,0],"link":"http://arxiv.org/abs/2502.12603v1","summary":"

The current methods used to forecast events over time are struggling with changing quickly as new information arrives.
To solve this issue, researchers have proposed a framework that separates long-term and short-term trends.
This idea is inspired by real-life events where sudden changes occur due to unknown factors like unexpected market policies.
By understanding how these short-term changes work independently, the team developed a model that can effectively separate and adapt to both long-term and short-term trends.
Experiments showed that this new model performs better than existing methods in predicting future events.

","source":"ArXiv AI","tags":["Time Series Forecasting","Online Learning","Long Short-Term Memory (LSTM)","Deep Learning"],"type":"research"},{"title":"Multi Image Super Resolution Modeling for Earth System Models","date":[2025,2,18,1,52,41,1,49,0],"link":"http://arxiv.org/abs/2502.12427v1","summary":"

Super-resolution is a way to make maps or images more detailed and accurate by using computer algorithms.
A new technique called ViFOR has been developed to improve these maps, allowing us to better understand environmental processes like climate change.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["super-resolution","earth-system-models","computer-vision"],"type":"research"},{"title":"RM-PoT: Reformulating Mathematical Problems and Solving via Program of\n Thoughts","date":[2025,2,18,6,54,32,1,49,0],"link":"http://arxiv.org/abs/2502.12589v1","summary":"

Researchers have found that even small changes in how math problems are written can make it harder for computers to solve them.
To fix this issue, they created a new system called RM-PoT that breaks down math problems into three parts: changing the way the problem is written, finding examples of similar problems, and generating code to help solve the problem.

","source":"ArXiv AI","tags":["Language Models","Mathematical Reasoning","Artificial Intelligence"],"type":"research"},{"title":"Robust Disentangled Counterfactual Learning for Physical Audiovisual\n Commonsense Reasoning","date":[2025,2,18,1,49,45,1,49,0],"link":"http://arxiv.org/abs/2502.12425v1","summary":"

Researchers have developed a new way to help computers better understand how things work by looking at both videos and audio recordings.
This method, called Robust Disentangled Counterfactual Learning, is able to figure out the underlying rules of physics even when some information is missing.
It works by breaking down complex data into simpler parts and then teaching the computer how these parts relate to each other.
The goal is to create a more accurate and robust system that can learn from incomplete or missing information.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Artificial Intelligence","Machine Learning","Computer Vision","Audio Processing","Physics"],"type":"research"},{"title":"RSMLP: A light Sampled MLP Structure for Incomplete Utterance Rewrite","date":[2025,2,18,6,45,21,1,49,0],"link":"http://arxiv.org/abs/2502.12587v1","summary":"

The Incomplete Utterance Rewriting task aims to fix conversations when they're not making sense by adjusting what was said to fit better with what's happening now, making it easier to understand.
A new and simpler method called RSMLP helps do this by breaking down conversations into smaller pieces and then putting them back together in a way that makes more sense.

","source":"ArXiv AI","tags":["Incomplete Utterance Rewriting","Conversational AI","Natural Language Processing"],"type":"research"},{"title":"Boosting Illuminant Estimation in Deep Color Constancy through Enhancing\n Brightness Robustness","date":[2025,2,18,1,36,10,1,49,0],"link":"http://arxiv.org/abs/2502.12418v1","summary":"

Researchers have been working on computer systems that can make colors look more natural by adjusting for lighting conditions, but they found that some of these systems are too sensitive to changes in brightness.
To fix this problem, they created a new way to make the systems more robust to different lighting conditions, which improved their accuracy by about 5%.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["color constancy","deep neural networks","brightness adjustment"],"type":"research"},{"title":"Enhancing Semi-supervised Learning with Noisy Zero-shot Pseudolabels","date":[2025,2,18,6,41,53,1,49,0],"link":"http://arxiv.org/abs/2502.12584v1","summary":"

Semi-supervised learning is a way to teach machines using only a small amount of labeled data, along with a much larger amount of unlabeled data.
Researchers have come up with a new method called ZMT (Zero-Shot Multi-Task Learning) that helps improve this process by making the machine learn better from both labeled and unlabeled data, even when the labeled information is not very reliable.

","source":"ArXiv AI","tags":["Semi-Supervised Learning","Artificial Intelligence","Machine Learning"],"type":"research"},{"title":"Gaseous Object Detection","date":[2025,2,18,1,26,7,1,49,0],"link":"http://arxiv.org/abs/2502.12415v1","summary":"

Currently, computer systems are really good at detecting solid objects like cars or chairs.
But now, scientists are trying to figure out if these same systems can also detect gases, which have different and more complicated properties than solids.
To do this, they created a large dataset of videos showing various types of gases and built a new detection system that uses physics to better understand the shape and movement of gases.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["object_detection","computer_vision","deep_learning"],"type":"research"},{"title":"The Majority Vote Paradigm Shift: When Popular Meets Optimal","date":[2025,2,18,6,37,33,1,49,0],"link":"http://arxiv.org/abs/2502.12581v1","summary":"

To make sure we get accurate labels for data, it's common to use multiple people to label it and then pick the most popular answer.
But even though this method is widely used, researchers haven't fully understood if it's always the best choice.
Our study helps fill that gap by figuring out when this approach can guarantee the most accurate result despite small mistakes from the annotators.

","source":"ArXiv AI","tags":["Machine Learning","Data Labeling","Statistical Analysis"],"type":"research"},{"title":"Multi-vision-based Picking Point Localisation of Target Fruit for\n Harvesting Robots","date":[2025,2,18,0,40,51,1,49,0],"link":"http://arxiv.org/abs/2502.12406v1","summary":"

Scientists have developed new ways for robots to pick fruits accurately, using multiple cameras and computer vision techniques.
They tested two methods: one based on math calculations and another using machine learning algorithms.
The results showed that using multiple cameras was more accurate than using just one camera, with a higher success rate in picking fruits without damaging them.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["computer-vision","machine-learning","robotics","agriculture"],"type":"research"},{"title":"A Fuzzy Evaluation of Sentence Encoders on Grooming Risk Classification","date":[2025,2,18,6,26,46,1,49,0],"link":"http://arxiv.org/abs/2502.12576v1","summary":"

Social media is making it easier for people who want to harm children online, known as predators, to build relationships with them without being detected.
These predators often use secret language and take time to gain the child's trust.
Researchers are trying to create a better way to identify when someone might be harming a child online, but they're finding that current methods aren't working because they don't account for people using secret language.

","source":"ArXiv AI","tags":["Grooming","Social Media","Online Safety","Machine Learning"],"type":"research"},{"title":"OCT Data is All You Need: How Vision Transformers with and without\n Pre-training Benefit Imaging","date":[2025,2,17,23,31,57,0,48,0],"link":"http://arxiv.org/abs/2502.12379v1","summary":"

Researchers studied how training artificial intelligence models with lots of images from the internet helps or hurts their ability to correctly identify diseases from special types of medical images called OCT images.
They found that using these pre-trained models can help smaller collections of OCT images, but when there's enough data available, it might be better to start from scratch.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Optical Coherence Tomography","Artificial Intelligence","Computer Vision","Medical Imaging"],"type":"research"},{"title":"HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading","date":[2025,2,18,6,26,5,1,49,0],"link":"http://arxiv.org/abs/2502.12574v1","summary":"

Researchers developed a new way to improve how large language models use computer memory during tasks like writing long paragraphs or stories.
This improvement, called HEADINFER, allows these models to work more efficiently and save space on the computer's graphics card (GPU) by only storing certain parts of their memory on the GPU instead of all of it.

","source":"ArXiv AI","tags":["Transformer-based large language models","Artificial intelligence","Computer science","Machine learning"],"type":"research"},{"title":"Alignment and Adversarial Robustness: Are More Human-Like Models More\n Secure?","date":[2025,2,17,23,30,50,0,48,0],"link":"http://arxiv.org/abs/2502.12377v1","summary":"

Researchers studied how closely artificial intelligence (AI) models match human-like vision by comparing their internal workings with how humans see the world.
They found that some AI models are more resilient to cyber attacks, but it's not just about making AI look like humans - different types of alignment play distinct roles in keeping AI secure and accurate.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Artificial Intelligence","Machine Learning","Cyber Security"],"type":"research"},{"title":"A Cognitive Writing Perspective for Constrained Long-Form Text\n Generation","date":[2025,2,18,6,12,14,1,49,0],"link":"http://arxiv.org/abs/2502.12568v1","summary":"

Researchers have developed a new way to help computers, called Large Language Models (LLMs), write long and complex texts like humans do.
This system, called CogWriter, breaks down tasks into smaller steps and checks the work as it goes along to make sure it meets certain requirements.
Tests have shown that CogWriter can produce high-quality texts much better than other systems, even when writing very long pieces.

","source":"ArXiv AI","tags":["Artificial Intelligence","Cognitive Science","Language Generation"],"type":"research"},{"title":"Detecting Systematic Weaknesses in Vision Models along Predefined\n Human-Understandable Dimensions","date":[2025,2,17,22,50,45,0,48,0],"link":"http://arxiv.org/abs/2502.12360v1","summary":"

Researchers are trying to make AI systems safer by finding weaknesses in how they work.
They're developing new methods to identify patterns in data where AI models don't perform well, and these patterns should be understandable by humans.
The goal is to make sure AI systems behave safely and correctly in real-world situations.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Deep Learning","Artificial Intelligence Safety","Machine Learning Weaknesses"],"type":"research"},{"title":"Exploring the Impact of Personality Traits on LLM Bias and Toxicity","date":[2025,2,18,6,7,9,1,49,0],"link":"http://arxiv.org/abs/2502.12566v1","summary":"

Researchers are studying how artificial intelligence (AI) models with different personalities behave, particularly when it comes to creating content that is safe and respectful.
They found that by adjusting certain 'personality traits' in these AI models, they can reduce the amount of biased or toxic information created, making them safer for use.

","source":"ArXiv AI","tags":["Artificial Intelligence","Personification","Content Safety","Bias Detection"],"type":"research"},{"title":"LanP: Rethinking the Impact of Language Priors in Large Vision-Language\n Models","date":[2025,2,17,22,48,34,0,48,0],"link":"http://arxiv.org/abs/2502.12359v1","summary":"

Large computer models called Vision-Language Models are very good at solving problems, but sometimes they make mistakes by creating fake information.
Researchers think that this happens because these models rely too much on their language skills and not enough on what they see.
They created a test to see how well these models do when the objects they're looking at are only partly visible.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Vision-Language Models","Artificial Intelligence","Computer Vision"],"type":"research"},{"title":"Evaluating Language Models on Grooming Risk Estimation Using Fuzzy\n Theory","date":[2025,2,18,5,59,54,1,49,0],"link":"http://arxiv.org/abs/2502.12563v1","summary":"

Researchers are trying to improve how computer systems detect when someone is grooming a child online.
They tested a special kind of AI model called SBERT and found it's good at some things, but not great because it relies on obvious clues rather than really understanding what's going on.

","source":"ArXiv AI","tags":["Language Models","Child Grooming Detection","Natural Language Processing"],"type":"research"},{"title":"REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark","date":[2025,2,17,22,10,47,0,48,0],"link":"http://arxiv.org/abs/2502.12342v1","summary":"

Researchers created a new benchmark called REAL-MM-RAG to help evaluate how well computer systems can retrieve information from multiple sources.
They found that these systems struggled with certain tasks, such as understanding tables and rephrasing questions.
To fix this, they made new training data and models that can do better at these tasks.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Artificial Intelligence","Data Retrieval","Computer Systems"],"type":"research"},{"title":"LLM Safety for Children","date":[2025,2,18,5,26,27,1,49,0],"link":"http://arxiv.org/abs/2502.12552v1","summary":"

Researchers studied how safe it is for kids under 18 to use language models, which are AI tools that help with things like homework and therapy.
They found some big gaps in understanding how these tools could harm children and developed new ways to test their safety specifically for kids.
This helps us identify potential risks and make language models safer for young users.

","source":"ArXiv AI","tags":["Large Language Models","Child Safety","Artificial Intelligence","Ethics"],"type":"research"},{"title":"Towards Fusing Point Cloud and Visual Representations for Imitation\n Learning","date":[2025,2,17,20,46,54,0,48,0],"link":"http://arxiv.org/abs/2502.12320v1","summary":"

Researchers developed a new way for robots to learn how to manipulate objects using sensory information like images or point clouds.
These point clouds help capture the shape of objects, while images provide more details about texture and meaning.
By combining both types of information in a clever way, the team was able to make their robot perform better at tasks than if it only used one type of information.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Imitation Learning","Robotics","Artificial Intelligence"],"type":"research"},{"title":"Improving the Stability of GNN Force Field Models by Reducing Feature\n Correlation","date":[2025,2,18,5,18,22,1,49,0],"link":"http://arxiv.org/abs/2502.12548v1","summary":"

Researchers developed new technology that helps machines learn about how materials behave over long periods of time, making it more stable and efficient.
This improvement is significant because it allows scientists to study semiconductor materials more effectively without wasting time or resources.

","source":"ArXiv AI","tags":["Graph Neural Network","Molecular Dynamics Simulation","Machine Learning","Stability Enhancement"],"type":"research"},{"title":"From Gaming to Research: GTA V for Synthetic Data Generation for\n Robotics and Navigations","date":[2025,2,17,20,22,52,0,48,0],"link":"http://arxiv.org/abs/2502.12303v1","summary":"

Researchers are trying to find ways to make computer vision work better in real-world situations using large amounts of data collected from different environments.
However, collecting this kind of data is expensive and time-consuming, so they're exploring an alternative method called synthetic data.
This involves creating fake data using video games or other simulations, which can be used to test and train algorithms without needing human supervision.
A recent study showed that this type of synthetic data is just as good as real-world data for certain tasks like navigation and mapping.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Synthetic Data","Computer Vision","Artificial Intelligence","Machine Learning","Robotics"],"type":"research"},{"title":"Computing Voting Rules with Improvement Feedback","date":[2025,2,18,5,5,46,1,49,0],"link":"http://arxiv.org/abs/2502.12542v1","summary":"

Researchers are trying to figure out how to gather people's preferences when they only have incomplete or limited information about what they like and don't like.
They found some ways to do this, but also discovered some problems with other methods, showing that sometimes even more information can be limiting.

","source":"ArXiv AI","tags":["Social Choice Theory","Preferential Voting","Machine Learning"],"type":"research"},{"title":"Per-channel autoregressive linear prediction padding in tiled CNN\n processing of 2D spatial data","date":[2025,2,17,20,21,33,0,48,0],"link":"http://arxiv.org/abs/2502.12300v1","summary":"

Researchers found a way to improve image super-resolution by using a new technique called linear prediction.
This method works by predicting missing pixels in an image and then using those predictions to help create a higher-quality version of the image.
The results showed that this method was better at creating high-quality images than other methods, but it also took longer to process.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["super-resolution","linear prediction","image processing"],"type":"research"},{"title":"Finding Optimal Trading History in Reinforcement Learning for Stock\n Market Trading","date":[2025,2,18,4,50,0,1,49,0],"link":"http://arxiv.org/abs/2502.12537v1","summary":"

Researchers are trying to improve how computers learn from past events when making financial decisions.
They're using a special kind of computer network and experimenting with different amounts of information it can use at one time.
By changing what the computer looks at, they found that sometimes having more information makes it make better decisions, but other times less is better.

","source":"ArXiv AI","tags":["Financial Deep Reinforcement Learning","Convolutional Neural Networks","Temporal Windows","Hyperparameters"],"type":"research"},{"title":"Duo Streamers: A Streaming Gesture Recognition Framework","date":[2025,2,17,20,13,43,0,48,0],"link":"http://arxiv.org/abs/2502.12297v1","summary":"

Researchers have developed a new system called Duo Streamers to recognize hand gestures quickly and efficiently on devices with limited resources.
This system uses a special recognition method, a lightweight model, and optimized training to achieve high accuracy while reducing the time it takes to process gestures by almost 13 times compared to other methods.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Gesture Recognition","Artificial Intelligence","Machine Learning"],"type":"research"},{"title":"An Algorithm Board in Neural Decoding","date":[2025,2,18,4,39,35,1,49,0],"link":"http://arxiv.org/abs/2502.12536v1","summary":"

Scientists have been trying to figure out how our brains work when it comes to learning and understanding new information.
They've noticed a pattern, called symmetry, in how our brains process certain types of data.
But they still don't fully understand what affects this process, which makes it harder for them to create more accurate models of the brain.
In this study, researchers used special tools to test their hypothesis about symmetry and found that a type of statistical distribution, called the normal distribution, plays an important role in how our brains make predictions.

","source":"ArXiv AI","tags":["Neural Encoding","Decoding","Symmetry","Machine Learning","Mathematical Statistics"],"type":"research"},{"title":"Data-Efficient Limited-Angle CT Using Deep Priors and Regularization","date":[2025,2,17,20,1,8,0,48,0],"link":"http://arxiv.org/abs/2502.12293v1","summary":"

Imagine you need an X-ray scan, but taking a full picture isn't possible or would expose you to too much radiation.
This problem is called limited-angle computed tomography, and it's hard to fix because the data is incomplete.
Scientists have come up with a solution that uses multiple techniques to reconstruct the original image from only 12 small pieces of data, which is surprisingly good at comparing to other methods.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Computed Tomography","Inverse Problem Solving","Radon Transform","Regularization Methods"],"type":"research"},{"title":"CityEQA: A Hierarchical LLM Agent on Embodied Question Answering\n Benchmark in City Space","date":[2025,2,18,4,36,15,1,49,0],"link":"http://arxiv.org/abs/2502.12532v1","summary":"

Imagine asking an AI to figure out answers to questions while it's exploring a real city.
That's what CityEQA is trying to do, and it's a big improvement from just doing this inside buildings.
To help the AI learn, researchers created a dataset of 1,412 examples of people asking questions in cities and made a new AI called PMA that can break down these questions into smaller tasks, navigate around, and find answers.
While PMA is getting better at answering these questions, it's still not as good as humans, so there's more work to do.

","source":"ArXiv AI","tags":["Embodied Question Answering","Artificial Intelligence","Urban Computing"],"type":"research"},{"title":"SmokeNet: Efficient Smoke Segmentation Leveraging Multiscale\n Convolutions and Multiview Attention Mechanisms","date":[2025,2,17,19,1,27,0,48,0],"link":"http://arxiv.org/abs/2502.12258v1","summary":"

Monitoring and controlling air pollution from things like quarry blasts and wildfires is very important for keeping our environment safe.
To do this, we need to be able to accurately identify and track smoke plumes, which is a complex task.
A new computer model called SmokeNet has been developed that can efficiently and accurately detect smoke plumes in different environments.
This makes it useful for use in real-world applications like environmental monitoring and safety management.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Environmental Monitoring","Deep Learning","Computer Vision","Air Pollution"],"type":"research"},{"title":"Diffusion Models without Classifier-free Guidance","date":[2025,2,17,18,59,50,0,48,0],"link":"http://arxiv.org/abs/2502.12154v1","summary":"

Researchers have developed a new way to train computer models called Model-guidance (MG) that's faster and more efficient than existing methods.
It does this by considering not just what data looks like, but also why it might look that way.
This approach is easy to add to existing models and has been shown to be highly effective in producing high-quality results.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Diffusion Models","Artificial Intelligence","Machine Learning"],"type":"research"},{"title":"GSCE: A Prompt Framework with Enhanced Reasoning for Reliable LLM-driven\n Drone Control","date":[2025,2,18,4,35,17,1,49,0],"link":"http://arxiv.org/abs/2502.12531v1","summary":"

Researchers are working on using advanced computer language models to control robots like drones.
They want to make sure these models produce accurate and safe results, so they've created a new framework called GSCE.
This helps the models think more clearly and follow rules, which has shown to significantly improve the success rate of drone tasks.

","source":"ArXiv AI","tags":["Large Language Models (LLMs)","Robotics Control","Autonomous Systems","Computer Vision"],"type":"research"},{"title":"PUGS: Zero-shot Physical Understanding with Gaussian Splatting","date":[2025,2,17,18,59,42,0,48,0],"link":"http://arxiv.org/abs/2502.12231v1","summary":"

Researchers have created a new way to use computer vision to automatically identify the physical properties of objects, such as their weight and texture, without needing any training data.
This is an important step towards creating robots that can understand and interact with the world in a more human-like way.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Computer Vision","Robotics","Artificial Intelligence"],"type":"research"},{"title":"VoLUT: Efficient Volumetric streaming enhanced by LUT-based\n super-resolution","date":[2025,2,17,18,59,3,0,48,0],"link":"http://arxiv.org/abs/2502.12151v1","summary":"

There's a new technology called VoLUT that helps stream high-quality, three-dimensional videos more efficiently over the internet.
It does this by first compressing the video before sending it, then using special software to improve its quality when it arrives at the viewer's device.
This makes watching 3D videos on devices like smartphones faster and uses less data than before.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Volumetric Video","Super-Resolution","Efficient Streaming","Lookup Tables","Adaptive Bitrate"],"type":"research"},{"title":"HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and\n Generation","date":[2025,2,17,18,57,51,0,48,0],"link":"http://arxiv.org/abs/2502.12148v1","summary":"

Researchers have discovered that large language models are better at understanding images than creating new ones from scratch.
They've created a new framework called HermesFlow to help close this gap, allowing these models to be even more powerful and useful in the future.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Multimodal Large Language Models","Artificial Intelligence","Machine Learning"],"type":"research"},{"title":"Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising\n Trajectory Sharpening","date":[2025,2,17,18,57,26,0,48,0],"link":"http://arxiv.org/abs/2502.12146v1","summary":"

Researchers have developed a new way to improve how artificial intelligence models learn from data, called Diffusion-Sharpening.
This approach allows the AI to find the best path through complex information and make more accurate predictions.
It's faster, more efficient, and performs better than other methods in various tasks such as text understanding and human evaluation.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Artificial Intelligence","Machine Learning","Deep Learning"],"type":"research"},{"title":"FLARE: Feed-forward Geometry, Appearance and Camera Estimation from\n Uncalibrated Sparse Views","date":[2025,2,17,18,54,5,0,48,0],"link":"http://arxiv.org/abs/2502.12138v1","summary":"

Researchers have created a new computer model called FLARE, which uses multiple low-quality images to accurately figure out how cameras are positioned and what objects look like in three-dimensional space.
This is a big improvement over current technology, especially since it's fast and efficient, taking less than half a second to process.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Computer Vision","3D Geometry","Camera Pose Estimation"],"type":"research"},{"title":"From Abstract to Actionable: Pairwise Shapley Values for Explainable AI","date":[2025,2,18,4,20,18,1,49,0],"link":"http://arxiv.org/abs/2502.12525v1","summary":"

Explainable AI (XAI) is important because it helps us understand how machine learning models make decisions, which is crucial for trusting those models when they're used in high-stakes areas.
A new method called Pairwise Shapley Values makes it easier to explain why a model made a certain prediction by comparing two similar data points and seeing how the model's decision changed.

","source":"ArXiv AI","tags":["Explainable AI","Machine Learning","Artificial Intelligence"],"type":"research"},{"title":"MagicArticulate: Make Your 3D Models Articulation-Ready","date":[2025,2,17,18,53,27,0,48,0],"link":"http://arxiv.org/abs/2502.12135v2","summary":"

There's a growing need to easily turn static 3D models into animated versions, but this process is usually time-consuming and hard to do automatically.
To solve this problem, researchers created MagicArticulate, a system that can convert 3D models into animated ones with ease.
This system includes a large collection of 3D models with detailed instructions on how to animate them and two key technologies: one for creating the skeleton of an object and another for deciding how different parts of the object move.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Machine Learning","Computer Animation","3D Modeling"],"type":"research"},{"title":"PRISM: Self-Pruning Intrinsic Selection Method for Training-Free\n Multimodal Data Selection","date":[2025,2,17,18,43,41,0,48,0],"link":"http://arxiv.org/abs/2502.12119v1","summary":"

To improve how large computer models handle real-world tasks, researchers developed a new approach called PRISM.
This method helps these models work more efficiently by finding the most useful data to use for training without needing a lot of extra computational power or complex steps.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Artificial Intelligence","Machine Learning","Computer Vision"],"type":"research"},{"title":"A Monocular Event-Camera Motion Capture System","date":[2025,2,17,18,38,27,0,48,0],"link":"http://arxiv.org/abs/2502.12113v1","summary":"

Researchers have created a new motion capture system that's perfect for small spaces like ship ballast tanks.
Instead of using cameras from multiple angles, this system uses one camera and blinking LED lights on an object to track its movement with high accuracy and speed.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Motion Capture","Computer Vision","Robotics"],"type":"research"},{"title":"Descriminative-Generative Custom Tokens for Vision-Language Models","date":[2025,2,17,18,13,42,0,48,0],"link":"http://arxiv.org/abs/2502.12095v1","summary":"

Scientists are trying to find a way for computers to learn new words and symbols that can help them understand and create images.
They're using a combination of text and image features to teach these new words, which can then be used to describe new ideas and objects.
This can help improve how computers generate new scenes and also make it easier to search for specific images in large databases.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Vision-Language Models","Custom Tokens","Image Retrieval"],"type":"research"},{"title":"Unhackable Temporal Rewarding for Scalable Video MLLMs","date":[2025,2,17,17,55,55,0,48,0],"link":"http://arxiv.org/abs/2502.12081v1","summary":"

Researchers discovered a problem in artificial intelligence models used for video processing, where more data and a larger model actually makes them worse at understanding videos.
They found out that these models sometimes just look at certain parts of the video instead of watching it all, which is called 'temporal hacking.' To fix this issue, they created a new way to measure how well the model understands the video's story and a new system to help the model watch the whole video, making it better at understanding videos.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Artificial Intelligence","Machine Learning","Video Processing","Temporal Hacking","Deep Learning"],"type":"research"},{"title":"HumanGif: Single-View Human Diffusion with Generative Prior","date":[2025,2,17,17,55,27,0,48,0],"link":"http://arxiv.org/abs/2502.12080v1","summary":"

Researchers have created a new system called HumanGif that allows computers to create realistic images of people from just one photo.
This is important because it's hard for computers to make images look right when the camera angle or pose changes, but HumanGif uses advanced math and machine learning to get it right.
It works by using information from the original photo to create a 3D model of the person that can be viewed from different angles and poses.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["3D human reconstruction","novel view synthesis","pose-consistent results","human diffusion model"],"type":"research"},{"title":"Enhancing Transparent Object Pose Estimation: A Fusion of GDR-Net and\n Edge Detection","date":[2025,2,17,16,59,37,0,48,0],"link":"http://arxiv.org/abs/2502.12027v1","summary":"

Researchers are working on a way to accurately identify and determine the position of transparent objects using cameras, which is difficult because light, background, and reflections affect how these objects appear.
However, they found that the edges of clear objects have a high level of contrast, making them easier to recognize.
They tried using edge detection as a first step in their process to see if it improves results.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Object Pose Estimation","Robot Vision","Computer Vision"],"type":"research"},{"title":"Predicting Next-Day Wildfire Spread with Time Series and Attention","date":[2025,2,17,16,41,46,0,48,0],"link":"http://arxiv.org/abs/2502.12003v1","summary":"

Researchers have used powerful computer networks called deep neural networks to improve their ability to predict how wildfires will spread tomorrow based on current conditions such as vegetation, weather, and topography.
They tested a new model called SwinUnet against other leading models using historical wildfire data and found that it performed best when given input from previous days, with the best results coming from using five days' worth of information.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Deep Neural Networks","Wildfire Prediction","Machine Learning","Computer Vision"],"type":"research"},{"title":"NaturalL2S: End-to-End High-quality Multispeaker Lip-to-Speech Synthesis\n with Differential Digital Signal Processing","date":[2025,2,17,16,40,23,0,48,0],"link":"http://arxiv.org/abs/2502.12002v1","summary":"

Recently, computer systems have gotten better at making fake speech sound more natural by using information from lip movements.
However, there's still a problem with how these systems are trained: they use fake audio data that doesn't always match real audio recordings.
To fix this issue, researchers created a new system called NaturalL2S, which uses special techniques to make the fake audio sound more like real speech and can even handle different speakers.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["visual speech recognition","lip-to-speech synthesis","end-to-end framework","speech generation"],"type":"research"},{"title":"MultiFlow: A unified deep learning framework for multi-vessel\n classification, segmentation and clustering of phase-contrast MRI validated\n on a multi-site single ventricle patient cohort","date":[2025,2,17,16,33,59,0,48,0],"link":"http://arxiv.org/abs/2502.11993v1","summary":"

Researchers created a new system using artificial intelligence to analyze medical images from patients with heart defects.
This system was able to correctly identify different parts of the body, such as blood vessels, and even group patients into categories based on how well their hearts were working over time.
The results showed that this system could help doctors make better predictions about patient outcomes and provide more personalized care.

","source":"ArXiv Computer Vision & Pattern Recognition","tags":["Artificial Intelligence","Medical Imaging","Heart Defects","Data Analysis"],"type":"research"}],"constant_feeds":[{"title":"Everything about Apache Airflow","link":"https://techflix.substack.com/p/everything-about-apache-airflow","type":"newsletter"},{"title":"Building Fast Analytics Platforms","link":"https://techflix.substack.com/p/building-fast-analytics-platforms","type":"newsletter"},{"title":"Crash course on Apache Flink","link":"https://techflix.substack.com/p/crash-course-on-apache-flink","type":"newsletter"},{"title":"Deleting Production Data","link":"https://techflix.substack.com/p/deleting-production-data","type":"newsletter"},{"title":"Collecting 25 billion events per day","link":"https://techflix.substack.com/p/collecting-25-billion-events-per","type":"newsletter"},{"title":"Speeding Webapps with WASM and SQLite","link":"https://techflix.substack.com/p/speeding-webapps-with-wasm-and-sqlite","type":"newsletter"},{"title":"Crash Course on Data Lake Architectures","link":"https://techflix.substack.com/p/crash-course-on-data-lake-architectures","type":"newsletter"},{"title":"How to Reduce Kubernetes Cost in AWS?","link":"https://techflix.substack.com/p/how-to-reduce-kubernetes-cost-in","type":"newsletter"},{"title":"Using Math Functions in CSS","link":"https://techflix.substack.com/p/using-math-functions-in-css","type":"newsletter"},{"title":"Speeding Frontend Build Time at Reddit","link":"https://techflix.substack.com/p/speeding-frontend-build-time-at-reddit","type":"newsletter"},{"title":"Zero downtime data migrations and system design for a booking platform","link":"https://techflix.substack.com/p/zero-downtime-data-migrations-and","type":"newsletter"},{"title":"Kafka Load Balancing at Agoda, AI Competitions to Participate and More","link":"https://techflix.substack.com/p/kafka-load-balancing-at-agoda-ai","type":"newsletter"},{"title":"AI Research from Apple, System Design for Online Banking and More","link":"https://techflix.substack.com/p/ai-research-from-apple-system-design","type":"newsletter"},{"title":"How Shopify Improved its App Performance and More","link":"https://techflix.substack.com/p/how-shopify-improved-its-app-performance","type":"newsletter"},{"title":"How Bumble scaled their iOS app, Rippling interview questions and More","link":"https://techflix.substack.com/p/how-bumble-scaled-their-ios-app-rippling","type":"newsletter"},{"title":"What is LoRA, Python Cinder and More","link":"https://techflix.substack.com/p/what-is-lora-python-cinder-and-more","type":"newsletter"},{"title":"How HubSpot uses Apache Kafka and More","link":"https://techflix.substack.com/p/how-hubspot-uses-apache-kafka-and","type":"newsletter"},{"title":"Deciphering JS Bundles, Python’s Immortality, and the Knapsack Conundrum","link":"https://techflix.substack.com/p/deciphering-js-bundles-pythons-immortality","type":"newsletter"},{"title":"Sounds, Systems, Surprises: Spotify's New Software, GPT-5, Google India Salary Trends and More","link":"https://techflix.substack.com/p/sounds-systems-surprises-spotifys","type":"newsletter"},{"title":"Bytes, Bots, Boundaries: Unraveling LinkedIn's Costwiz, LLMs, and API Rate Limiting","link":"https://techflix.substack.com/p/bytes-bots-boundaries-unraveling","type":"newsletter"}],"sources":["AI","AMD","AWS Architecture","AWS Big Data","AWS Compute","AWS Machine Learning","AWS Storage","Adidas","Adobe","Agoda","Airbnb","Airbyte","Algorithms","Amazon Science","Analytics at Meta","Android","Apache Airflow","Apache Flink","Apple ML Research","ArXiv AI","ArXiv Computer Vision & Pattern Recognition","ArXiv Cryptography & Security","ArXiv DSA","ArXiv Databases","ArXiv Multimedia","ArXiv Software Engineering","Artsy","Asana","Assembly AI","Astro","Astronomy","BlueSky","Brave","Browserstack","Bumble Tech","Bun","CRED","Canonical","Canva","Capital One","Cohere","ComfyUI","Confluent","Cursor","Data Science","DataRobot","Databricks","Deepgram","Django","Dropbox","Duolingo","Ebay","EmergeTools","Etsy","Facebook","Figma","Fiverr Engineering","Flipkart","Flutter","Github","Gitlab","Gojek","Google Chrome","Google Open Source","Grab","Grammarly","Groww","Hackerrank","Hashicorp","Hashnode","Heroku","Housing.com","Hubspot","HuggingFace","IEEE Access","IEEE Transactions on AI","IEEE Transactions on Affective Computing","IEEE Transactions on Big Data","IEEE Transactions on Computers","Instacart","Intel","Intuit","Java","Jio Cinema","Journal of Machine Learning Research","Klarna","Kubernetes","Langchain","LinkedIn","Linux Foundation","Lyft","Mailchimp","McDonald's Tech Blog","Mckinsey","Medium","Microsoft Azure","Microsoft Devblogs","Microsoft Research","Miro","Mozilla","Mozilla Hacks","Netflix","Netlify","Nginx","Notion","Nvidia","Oracle","Oreilly","Palantir","Pattern Analysis and Machine Intelligence","Pinterest","PostHog","Postgresql","Postman","Proton","Quantum Computing","Razorpay","React","React Native","Reddit","Refine.dev","Remix","Replit","Robotics","Salesforce","Science","SentinelOne","Sentry","Shopify","SigNoz","Slack","Socket.dev","Sony Research India","Spotify","Square","Squarespace","Stackblitz","StarRocks","Streamlit","Stripe","Supabase","Svelte","Swiggy","Tech News","TechFlix Daily","The Pragmatic Engineer","The Research Nest","Thoughtworks","TigerBeetle","Trino","Typescript","Uber","Urban Company","Vite","W3C","Walmart","Web3","Wipro","Wix Engineering","YCombinator","Yelp","Zapier","Zendesk","Zerodha","freeCodeCamp","gRPC"]}

150+ Tech Blogs, 15+ Research Journals, Summarized on a Single Feed.