Explore the latest insights and updates from top sources in technology, artificial intelligence, and innovation. Our curated collection of RSS feeds brings you real-time content from renowned platforms, including OpenAI, Google, and more. Stay informed about the cutting-edge developments, research breakthroughs, and industry trends, all in one central hub.
NAACP calls on Memphis officials to halt operations at xAI’s ‘dirty data center’
The NAACP is calling on local officials to halt operations at Colossus, the “supercomputer” facility operated by Elon Musk’s xAI in South Memphis. As reported in NBC News, leaders from the civil rights group sent a letter Thursday to the Shelby County Health Department and Memphis Light Gas and Water…
Meta plans to automate many of its product risk assessments
An AI-powered system could soon take responsibility for evaluating the potential harms and privacy risks of up to 90% of updates made to Meta apps like Instagram and WhatsApp, according to internal documents reportedly viewed by NPR. NPR says a 2012 agreement between Facebook (now Meta) and the Federal Trade…
Day 3 of the TechCrunch Sessions: AI Trivia Countdown — Your next shot at winning big
TechCrunch Sessions: AI hits UC Berkeley’s Zellerbach Hall on June 5, and we’re kicking Day 3 of AI trivia into high gear. This is your chance to prove you know your stuff — and score a major ticket deal while you’re at it. Answer a few AI-focused trivia questions, and…
Google quietly released an app that lets you download and run AI models locally
Last week, Google quietly released an app that lets users run a range of openly available AI models from the AI dev platform Hugging Face on their phones. Called Google AI Edge Gallery, the app is available for Android and will soon come to iOS. It allows users to find,…
Serious About AI? The conversations that count start in 5 days at TechCrunch Sessions: AI
In just 5 days, the sharpest minds in artificial intelligence will gather at UC Berkeley’s Zellerbach Hall for TechCrunch Sessions: AI—a one-day summit built for real insight, not recycled soundbites. Whether you’re training your first model or managing a multi-billion-dollar portfolio, this is where the future of AI feels tangible.…
It’s not your imagination: AI is speeding up the pace of change
Venture capitalist Mary Meeker just dropped a 340-page report to describe the speed at which AI is being developed, adopted, spent on, and used.
Elon dips from DOGE, and Silicon Valley enters the ‘find out’ stage
Elon Musk has officially announced he’s stepping down as a U.S. special government employee and the de facto head of the Department of Government Efficiency, better known as DOGE. The move follows Musk’s cooling relationship with the Trump administration and slumping Tesla sales tied to his political advocacy. Despite his…
Gemini will now automatically summarize your long emails unless you opt out
Google is putting AI to work on your inbox, whether or not it's something you want to use.
Your last opportunity to vote on the TechCrunch Disrupt 2025 agenda lineup
We’re thrilled by the overwhelming response to our call for speakers at TechCrunch Disrupt 2025, taking place October 27-29 at Moscone West in San Francisco. After a careful selection process, we’ve narrowed it down to 20 impressive finalists — 10 breakout sessions and 10 roundtables. Now it’s your turn to…
TechCrunch Sessions: AI Trivia Countdown — Ready to test your AI knowledge?
As we count down the final days to TechCrunch Sessions: AI on June 5 at UC Berkeley’s Zellerbach Hall, we’re offering one last chance to score a special deal. We’ve launched the TC Sessions: AI Trivia Countdown — your shot to show off your AI knowledge and win big. Just…
Just 6 days left — ready for some unfiltered AI truths at TechCrunch Sessions: AI?
June 5 is almost here — bringing real, unfiltered AI conversations… and higher ticket prices. Lock in your savings now. Register now to save $300 on your TechCrunch Sessions: AI pass — and get 50% off for your +1. Don’t wait for rates to spike when event doors open. Join…
Google fixes bug that led AI Overviews to say it’s now 2024
Google has fixed a bug that led AI Overviews to say it's 2024 when it was asked if this year is 2025.
Grammarly secures $1B in nondilutive funding from General Catalyst
Grammarly has secured a $1 billion commitment from General Catalyst.
Inside the AI revolution: Top insights and breakthroughs from our partners at TechCrunch Sessions: AI
At TechCrunch Sessions: AI, the spotlight is on the future of artificial intelligence and the startups shaping it. This high-energy event brings together founders, investors, and technologists to explore how AI is transforming industries — from the pitch deck to full-scale deployment. We’re proud to spotlight our partners — not…
Hugging Face unveils two new humanoid robots
AI dev platform Hugging Face continued its push into robotics on Thursday with the release of two new humanoid robots.
Black Forest Labs’ Kontext AI models can edit pics as well as generate them
Black Forest Labs, the AI startup whose models once powered the image generation features of X’s Grok chatbot, on Thursday released a new suite of image-generating models — some of which can both create and edit pics. The most capable of the models in the new family, called Flux.1 Kontext,…
Delaware attorney general reportedly hires a bank to evaluate OpenAI’s restructuring plan
Delaware's attorney general is hiring an investment bank to advise on OpenAI's for-profit conversion.
Perplexity’s new tool can generate spreadsheets, dashboards, and more
Perplexity, the AI-powered search engine gunning for Google, on Thursday released Perplexity Labs, a tool for subscribers to Perplexity’s $20-per-month Pro plan that can craft reports, spreadsheets, dashboards, and more. Perplexity Labs is available on the web, iOS, and Android, and coming soon to Perplexity’s apps for Mac and Windows.…
DeepSeek’s distilled new R1 AI model can run on a single GPU
DeepSeek's updated R1 reasoning AI model is getting the bulk of the AI community's attention this week.
DeepSeek’s updated R1 AI model is more censored, test finds
Chinese AI startup DeepSeek’s newest AI model, an updated version of the company’s R1 reasoning model, achieves impressive scores on benchmarks for coding, math, and general knowledge, nearly surpassing OpenAI’s flagship o3. But the upgraded R1, also known as “R1-0528,” might also be less willing to answer contentious questions, in…
An anomaly detection framework anyone can use
PhD student Sarah Alnegheimish wants to make machine learning systems accessible.
Building networks of data science talent
Through collaborations with organizations like BREIT in Peru, the MIT Institute for Data, Systems, and Society is upskilling hundreds of learners around the world in data science and machine learning.
AI learns how vision and sound are connected, without human intervention
This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.
Learning how to predict rare kinds of failures
Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.
The sweet taste of a new idea
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
With AI, researchers predict the location of virtually any protein within a human cell
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
Study shows vision-language models can’t handle queries with negation words
Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.
How can India decarbonize its coal-dependent electric power system?
A detailed MIT analysis identifies some promising options but also raises unexpected concerns.
Hybrid AI model crafts smooth, high-quality videos in seconds
The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.
Q&A: A roadmap for revolutionizing health care through data-driven innovation
A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.
New tool evaluates progress in reinforcement learning
“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
Novel AI model inspired by neural dynamics from the brain
New type of “state-space model” leverages principles of harmonic oscillators.
Making AI models more trustworthy for high-stakes settings
A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
Novel method detects microbial contamination in cell cultures
Ultraviolet light “fingerprints” on cell cultures and machine learning can provide a definitive yes/no contamination assessment within 30 minutes.
Robotic system zeroes in on objects most relevant for helping humans
A new approach could enable intuitive robotic helpers for household, workplace, and warehouse settings.
Google AI Blog - The latest research
Generative AI to quantify uncertainty in weather forecasting
Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, Research Scientist, Google Research Accurate weather forecasts can have a direct impact on people’s lives, from helping make routine decisions, like what to pack for a day’s activities, to informing urgent actions, for example, protecting people in the face of…
AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
Posted by Urs Köster, Software Engineer, Google Research Time series problems are ubiquitous, from forecasting weather and traffic patterns to understanding economic trends. Bayesian approaches start with an assumption about the data's patterns (prior probability), collecting evidence (e.g., new time series data), and continuously updating that assumption to form a…
Computer-aided diagnosis for lung cancer screening
Posted by Atilla Kiraly, Software Engineer, and Rory Pilgrim, Product Manager, Google Research Lung cancer is the leading cause of cancer-related deaths globally with 1.8 million deaths reported in 2020. Late diagnosis dramatically reduces the chances of survival. Lung cancer screening via computed tomography (CT), which provides a detailed 3D…
Using AI to expand global access to reliable flood forecasts
Posted by Yossi Matias, VP Engineering & Research, and Grey Nearing, Research Scientist, Google Research Floods are the most common natural disaster, and are responsible for roughly $50 billion in annual financial damages worldwide. The rate of flood-related disasters has more than doubled since the year 2000 partly due to…
ScreenAI: A visual language model for UI and visually-situated language understanding
Posted by Srinivas Sunkara and Gilles Baechler, Software Engineers, Google Research Screen user interfaces (UIs) and infographics, such as charts, diagrams and tables, play important roles in human communication and human-machine interaction as they facilitate rich and interactive user experiences. UIs and infographics share similar design principles and visual language…
SCIN: A new resource for representative dermatology images
Posted by Pooja Rao, Research Scientist, Google Research Health datasets play a crucial role in research and medical education, but it can be challenging to create a dataset that represents the real world. For example, dermatology conditions are diverse in their appearance and severity and manifest differently across skin tones.…
MELON: Reconstructing 3D objects from images with unknown poses
Posted by Mark Matthews, Senior Software Engineer, and Dmitry Lagun, Research Scientist, Google Research A person's prior experience and understanding of the world generally enables them to easily infer what an object looks like in whole, even if only looking at a few 2D pictures of it. Yet the capacity…
HEAL: A framework for health equity assessment of machine learning performance
Posted by Mike Schaekermann, Research Scientist, Google Research, and Ivor Horn, Chief Health Equity Officer & Director, Google Core Health equity is a major societal concern worldwide with disparities having many causes. These sources include limitations in access to healthcare, differences in clinical treatment, and even fundamental differences in the…
Cappy: Outperforming and boosting large multi-task language models with a small scorer
Posted by Yun Zhu and Lijuan Liu, Software Engineers, Google Research Large language model (LLM) advancements have led to a new paradigm that unifies various natural language processing (NLP) tasks within an instruction-following framework. This paradigm is exemplified by recent multi-task LLMs, such as T0, FLAN, and OPT-IML. First, multi-task…
Talk like a graph: Encoding graphs for large language models
Posted by Bahare Fatemi and Bryan Perozzi, Research Scientists, Google Research Imagine all the things around you — your friends, tools in your kitchen, or even the parts of your bike. They are all connected in different ways. In computer science, the term graph is used to describe connections between…
Chain-of-table: Evolving tables in the reasoning chain for table understanding
Posted by Zilong Wang, Student Researcher, and Chen-Yu Lee, Research Scientist, Cloud AI Team People use tables every day to organize and interpret complex information in a structured, easily accessible format. Due to the ubiquity of such tables, reasoning over tabular data has long been a central topic in natural…
Health-specific embedding tools for dermatology and pathology
Posted by Dave Steiner, Clinical Research Scientist, Google Health, and Rory Pilgrim, Product Manager, Google Research There’s a worldwide shortage of access to medical imaging expert interpretation across specialties including radiology, dermatology and pathology. Machine learning (ML) technology can help ease this burden by powering tools that enable doctors to…
Social learning: Collaborative learning with large language models
Posted by Amirkeivan Mohtashami, Research Intern, and Florian Hartmann, Software Engineer, Google Research Large language models (LLMs) have significantly improved the state of the art for solving tasks specified using natural language, often reaching performance close to that of people. As these models increasingly enable assistive agents, it could be…
Croissant: a metadata format for ML-ready datasets
Posted by Omar Benjelloun, Software Engineer, Google Research, and Peter Mattson, Software Engineer, Google Core ML and President, MLCommons Association Machine learning (ML) practitioners looking to reuse existing datasets to train an ML model often spend a lot of time understanding the data, making sense of its organization, or figuring…
Google at APS 2024
Posted by Kate Weber and Shannon Leon, Google Research, Quantum AI Team Today the 2024 March Meeting of the American Physical Society (APS) kicks off in Minneapolis, MN. A premier conference on topics ranging across physics and related fields, APS 2024 brings together researchers, students, and industry professionals to share…
Microsoft Research Blog - The latest
What AI’s impact on individuals means for the health workforce and industry
Ethan Mollick and Azeem Azhar, thought leaders at the forefront of AI’s influence on work, education, and society, discuss the impact of AI at the individual level and what that means for the healthcare workforce and the organizations and systems in medicine. The post What AI’s impact on individuals means…
FrodoKEM: A conservative quantum-safe cryptographic algorithm
The recent advances in quantum computing offer many advantages—but also challenge current cryptographic strategies. Learn how FrodoKEM could help strengthen security, even in a future with powerful quantum computers. The post FrodoKEM: A conservative quantum-safe cryptographic algorithm appeared first on Microsoft Research.
Abstracts: Zero-shot models in single-cell biology with Alex Lu
The emergence of foundation models has sparked interest in applications to single-cell biology, but when tested in zero-shot settings, they underperform compared to simpler methods. Alex Lu shares insights on why more research on AI models is needed in biological applications. The post Abstracts: Zero-shot models in single-cell biology with…
Abstracts: Aurora with Megan Stanley and Wessel Bruinsma
A new Nature paper explores Aurora, an AI model that redefines weather prediction with application to other environmental domains such as tropical cyclones. Hear from senior researchers Megan Stanley and Wessel Bruinsma as they share their groundbreaking work. The post Abstracts: Aurora with Megan Stanley and Wessel Bruinsma appeared first…
Collaborators: Healthcare Innovation to Impact
In this discussion, Matthew Lungren, Jonathan Carlson, Smitha Saligrama, Will Guyman, and Cameron Runde explore how teams across Microsoft are working together to generate advanced AI capabilities and solutions for developers and clinicians around the globe. The post Collaborators: Healthcare Innovation to Impact appeared first on Microsoft Research.
Magentic-UI, an experimental human-centered web agent
Magentic-UI, new from Microsoft Research, is an open-source research prototype of a human-centered AI agent, designed to work with people to complete complex, web-based tasks in real time over a web browser. The post Magentic-UI, an experimental human-centered web agent appeared first on Microsoft Research.
Coauthor roundtable: Reflecting on real world of doctors, developers, patients, and policymakers
Peter Lee and his coauthors, Carey Goldberg and Dr. Zak Kohane, reflect on how generative AI is unfolding in real-world healthcare, drawing on earlier guest conversations to examine what’s working, what’s not, and what questions still remain. The post Coauthor roundtable: Reflecting on real world of doctors, developers, patients, and…
Predicting and explaining AI model performance: A new approach to evaluation
ADeLe, a new evaluation method, explains what AI systems are good at—and where they’re likely to fail. By breaking tasks into ability-based requirements, it has the potential to provide a clearer way to evaluate and predict AI model performance. The post Predicting and explaining AI model performance: A new approach…
Abstracts: Heat Transfer and Deep Learning with Hongxia Hao and Bing Lv
Silicon has long borne the burden of heat transfer in electronics, but in a post-Moore’s Law world, researchers like Hongxia Hao and Bing Lv are using AI to discover and design next-generation materials that exceed the limits of silicon’s thermal conductivity. The post Abstracts: Heat Transfer and Deep Learning with…
Research Focus: Week of May 7, 2025
In this issue: New research on compound AI systems and causal verification of the Confidential Consortium Framework; release of Phi-4-reasoning; enriching tabular data with semantic structure, and more. The post Research Focus: Week of May 7, 2025 appeared first on Microsoft Research.