Pat Gelsinger wants to save Moore’s Law, with a little help from the Feds
The company is aiming to produce its first silicon wafers by 2028 and have its first commercial system online by 2029.
Artificial Intelligence Latest News
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.
Ex-Googler’s Yoodli triples valuation to $300M+ with AI built to assist, not replace, people
Yoodli counts Google, Snowflake, and Databricks among its customers.
Sources: AI synthetic research startup Aaru raised a Series A at a $1B ‘headline’ valuation
The one-year-old startup, which does market research on simulated populations, had a multi-tier valuation round, sources tell TechCrunch.
AWS needs you to believe in AI agents
AWS announced a wave of new AI agent tools at re:Invent 2025, but can Amazon actually catch up to the AI leaders? While the cloud giant is betting big on enterprise AI with its third-gen chip and database discounts that got developers cheering, it’s still fighting to prove it can…
Meta acquires AI device startup Limitless
Limitless said it shares Meta's vision of bringing personal superintelligence to everyone.
ChatGPT’s user growth has slowed, report finds
ChatGPT's global monthly active users only grew by around 5% from August to November, while Gemini's users grew by about 30%.
Nothing wants your money, AWS wants your trust, and Spotify wants your data
AWS announced a wave of new AI agent tools at re:Invent 2025, but can Amazon actually catch up to the AI leaders? While the cloud giant is betting big on enterprise AI with its third-gen chip and database discounts that got developers cheering, it’s still fighting to prove it can…
AWS re:Invent was an all-in pitch for AI. Customers might not be ready.
AWS is releasing a lot of new AI tech, but the cloud infrastructure giant's enterprise customers may not be ready for it yet.
The New York Times is suing Perplexity for copyright infringement
The New York Times filed a copyright lawsuit against Perplexity, joining other publishers using legal action as leverage to force AI companies into licensing deals that compensate content creators.
Meta signs commercial AI data agreements with publishers to offer real-time news on Meta AI
Meta is partnering with CNN, Fox News, Fox Sports, Le Monde Group, the People Inc. portfolio of media brands, The Daily Caller, The Washington Examiner, and USA Today.
Chicago Tribune sues Perplexity
The newspaper is alleging copyright infringement and calling out Perplexity's retrieval augmented generation (RAG) as a culprit.
All the biggest news from AWS’ big tech show re:Invent 2025
Amazon Web Services' giant tech conference re:Invent 2025 is happening this week with news ranging from chips to AI services.
Micro1, a Scale AI competitor, touts crossing $100M ARR
Micro1 started the year with roughly $7 million ARR. Now, it claims to have surpassed $100 million in ARR, double what it reported in September.
Anthropic CEO weighs in on AI bubble talk and risk-taking among competitors
Anthropic's CEO shared his thoughts on the economics of AI and the risk-taking of competitors, saying some were "YOLO-ing" with regard to spending.
Meta centralizes Facebook and Instagram support, tests AI support assistant
The new support hub will connect users to security tools, account recovery options, and an AI assistant.
Meta reportedly plans to slash Metaverse budget by up to 30%
The proposal reflects the overall lack of interest in products like Meta's social virtual reality platform, Horizon Worlds.
Anthropic signs $200M deal to bring its LLMs to Snowflake’s customers
AI research lab Anthropic inked a $200 million deal with Snowflake to bring its AI models to Snowflake's 12,600 customers.
EU investigating Meta over policy change that bans rival AI chatbots from WhatsApp
The European Commission is launching an antitrust investigation into Meta's move to ban other AI companies from using WhatsApp's business tools to offer their own AI chatbots to users.
AI finds its way into Apple’s top apps of the year
Although Apple has continued to avoid naming a dedicated AI app or AI chatbot as its app of the year, AI was showcased among this year's winners.
Nexus isn’t going all in on AI, keeping half of its new $700M fund for India startups
Nexus Venture Partners manages $3.2 billion in capital across its funds and has invested in more than 130 companies over the years.
Robots that spare warehouse workers the heavy lifting
Founded by MIT alumni, the Pickle Robot Company has developed machines that can autonomously load and unload trucks inside warehouses and logistic centers.
A smarter way for large language models to think about hard problems
This new technique enables LLMs to dynamically adjust the amount of computation they use for reasoning, based on the difficulty of the question.
MIT engineers design an aerial microrobot that can fly as fast as a bumblebee
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.
New control system teaches soft robots the art of staying safe
MIT CSAIL and LIDS researchers developed a mathematically grounded system that lets soft robots deform, adapt, and interact with people and objects, without violating safety limits.
MIT Sea Grant students explore the intersection of technology and offshore aquaculture in Norway
AquaCulture Shock program, in collaboration with MIT-Scandinavia MISTI, offers international internships for AI and autonomy in aquaculture
Researchers discover a shortcoming that makes LLMs less reliable
Large language models can learn to mistakenly link certain sentence patterns with specific topics — and may then repeat these patterns instead of reasoning.
MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
BoltzGen generates protein binders for any biological target from scratch, expanding AI’s reach from understanding biology toward engineering it.
How artificial intelligence can help achieve a clean energy future
AI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materials, and more.
The cost of thinking
MIT neuroscientists find a surprising parallel in the ways humans and new AI models solve complex problems.
Quantum modeling for breakthroughs in materials science and sustainable energy
Quantum chemist and School of Science Dean’s Postdoctoral Fellow Ernest Opoku is working on computational methods to study how electrons behave.
New AI agent learns to use CAD to create 3D objects from sketches
The virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.
Understanding the nuances of human-like intelligence
Associate Professor Phillip Isola studies the ways in which intelligent machines “think,” in an effort to safely integrate AI into human society.
Charting the future of AI, from safer answers to faster thinking
MIT PhD students who interned with the MIT-IBM Watson AI Lab Summer Program are pushing AI tools to be more flexible, efficient, and grounded in truth.
MIT researchers propose a new model for legible, modular software
The coding framework uses modular concepts and simple synchronization rules to make software clearer, safer, and easier for LLMs to generate.
Teaching robots to map large environments
A new approach developed at MIT could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.
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
Ideas: Community building, machine learning, and the future of AI
As the Women in Machine Learning Workshop (WiML) marks its 20th annual gathering, cofounders, friends, and collaborators Jenn Wortman Vaughan and Hanna Wallach reflect on WiML’s evolution, navigating the field of ML, and their work in responsible AI. The post Ideas: Community building, machine learning, and the future of AI…
Reducing Privacy leaks in AI: Two approaches to contextual integrity
New research explores two ways to give AI agents stronger privacy safeguards grounded in contextual integrity. One adds lightweight, inference-time checks; the other builds contextual awareness directly into models through reasoning and RL. The post Reducing Privacy leaks in AI: Two approaches to contextual integrity appeared first on Microsoft Research.
Fara-7B: An Efficient Agentic Model for Computer Use
Fara-7B is our first agentic small language model for computer use. This experimental model includes robust safety measures to aid responsible deployment. Despite its size, Fara-7B holds its own against larger, more resource-intensive agentic systems. The post Fara-7B: An Efficient Agentic Model for Computer Use appeared first on Microsoft Research.
MMCTAgent: Enabling multimodal reasoning over large video and image collections
MMCTAgent enables dynamic multimodal reasoning with iterative planning and reflection. Built on Microsoft’s AutoGen framework, it integrates language, vision, and temporal understanding for complex tasks like long video and image analysis. The post MMCTAgent: Enabling multimodal reasoning over large video and image collections appeared first on Microsoft Research.
BlueCodeAgent: A blue teaming agent enabled by automated red teaming for CodeGen AI
BlueCodeAgent is an end-to-end blue-teaming framework built to boost code security using automated red-teaming processes, data, and safety rules to guide LLMs’ defensive decisions. Dynamic testing reduces false positives in vulnerability detection. The post BlueCodeAgent: A blue teaming agent enabled by automated red teaming for CodeGen AI appeared first on…
When industry knowledge meets PIKE-RAG: The innovation behind Signify’s customer service boost
A collaboration between Signify and Microsoft Research shows how PIKE-RAG improves enterprise knowledge systems, delivering a 12% increase in accuracy and faster, more reliable answers. The post When industry knowledge meets PIKE-RAG: The innovation behind Signify’s customer service boost appeared first on Microsoft Research.
Magentic Marketplace: an open-source simulation environment for studying agentic markets
AI agents are poised to transform digital marketplaces. To explore what can happen when AI agents interact and transact at scale, we built Magentic Marketplace, an open-source simulation environment for studying agentic market designs. The post Magentic Marketplace: an open-source simulation environment for studying agentic markets appeared first on Microsoft…
RedCodeAgent: Automatic red-teaming agent against diverse code agents
Code agents help streamline software development workflows, but may also introduce critical security risks. Learn how RedCodeAgent automates and improves “red-teaming” attack simulations to help uncover real-world threats that other methods overlook. The post RedCodeAgent: Automatic red-teaming agent against diverse code agents appeared first on Microsoft Research.
Tell me when: Building agents that can wait, monitor, and act
SentinelStep enables AI agents to handle monitoring tasks that run for hours or days, like watching for emails or tracking prices. It works by managing when agents should check and their context, avoiding wasted resources and missed updates. The post Tell me when: Building agents that can wait, monitor, and…
Ideas: More AI-resilient biosecurity with the Paraphrase Project
Microsoft’s Eric Horvitz and guests Bruce Wittmann, Tessa Alexanian, and James Diggans discuss the Paraphrase Project—a red-teaming effort that exposed and secured a biosecurity vulnerability in AI-driven protein design. The work offers a model for addressing AI’s dual-use risks. The post Ideas: More AI-resilient biosecurity with the Paraphrase Project appeared…