AI mania tanks CoreWeave’s Core Scientific acquisition — it buys Python notebook Marimo
CoreWeave's failed buy of Core Scientific is another sign of an AI bubble. But it's still shopping.
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.
ChatGPT: Everything you need to know about the AI-powered chatbot
A timeline of ChatGPT product updates and releases, starting with the latest, which we’ve been updating throughout the year.
Equity Live: From $300M seed rounds to data center builds, AI is feeling bubbly
The Equity crew was live at TechCrunch Disrupt 2025! Hosts Kirsten Korosec, Max Zeff, and Anthony Ha took over the Builders Stage on Monday morning to kick off the event with the question everyone’s asking: are we in an AI bubble? Between valuations that have tripled in months, $300M seed…
AWS exceeds Wall Street’s expectations as demand for cloud infra remains high
AWS continues to see strong demand as companies gobble up its cloud infrastructure services in the age of AI.
Perplexity strikes multi-year licensing deal with Getty Images
Perplexity’s agreement with Getty appears to legitimize some of the startup’s previous use of Getty’s stock photos. Perplexity came under fire last year for a series of plagiarism accusations from several news organizations.
Tim Cook says Apple is open to M&A on the AI front
Apple CEO Tim Cook noted in the company's Q4 2025 earnings call that Apple was preparing to announce more AI partnerships like the one it has with OpenAI to integrate ChatGPT into Siri and Apple Intelligence.
YC alum Adam raises $4.1M to turn viral text-to-3D tool into AI copilot
After generating over 10 million social media impressions with the launch of its text-to-3D model app, Adam has raised a $4.1 million seed round to power its next steps.
Reddit CEO says chatbots are not a traffic driver
During Reddit's Q3 2025 call, CEO Steve Huffman noted that Google search and direct access continue to be its top traffic drivers.
Nvidia expands AI ties with Hyundai, Samsung, SK, Naver
Nvidia CEO Jensen Huang is visiting South Korea to strengthen partnerships with Samsung, Hyundai, SK, and Naver, unveiling plans for AI-powered networks and next-generation intelligent systems.
Nvidia is reportedly investing up to $1B in Poolside
Nvidia is an existing investor in the AI company and participated in its $500 million Series A round in 2024.
Bevel raises $10M Series A from General Catalyst for its AI health companion
Bevel's AI health companion unifies data from wearables and daily habits across sleep, fitness, and nutrition into personalized insights.
Google partners with Ambani’s Reliance to offer free AI Pro access to millions of Jio users in India
U.S. tech giants increasingly view India as the next big frontier — a place to gather diverse data, refine models, and test AI use cases that could later scale across other emerging markets.
Figma acquires AI-powered media generation company Weavy
Figma said that Weavy will exist as a stand-alone product for now and that, in the future, it will be integrated with the Figma Weave brand, along with the rest of the Figma platform.
The Prompting Company snags $6.5M to help products get mentioned in ChatGPT and other AI apps
Retailers could see up to a 520% increase in traffic from chatbots and AI prompts in 2025 compared to 2024, according to the report. For brands, that means figuring out how to show up in AI-generated recommendations, and fast.
Cluely’s Roy Lee on the rage-bait strategy for startup marketing
Cluely's Roy Lee has a message for startup founders: You should be thinking harder about how to go viral.
Solana co-founder Anatoly Yakovenko is a big fan of agentic coding
Speaking at TechCrunch Disrupt, Yakovenko said he's become increasingly comfortable taking a back seat in software development tasks.
Box CEO Aaron Levie on how AI is changing the enterprise SaaS landscape
He painted a picture of a future of enterprise software where the SaaS is used for the core business workflow, and then the agents ride on top of that.
ElevenLabs CEO says AI audio models will be ‘commoditized’ over time
ElevenLabs' founder Mati Staniszewski said that, in the short term, AI audio models were still the "biggest advantage and the biggest step change you can have today."
How AI labs use Mercor to get the data companies won’t share
Mercor CEO Brendan Foody has built a $10 billion empire freeing up valuable data from legacy industries and making it available to AI labs.
Nvidia becomes first public company worth $5 trillion
With a market cap of $5 trillion, Nvidia is now worth more than the aggregated stock markets of all countries, apart from the United States, China, and Japan.
Creating AI that matters
How the MIT-IBM Watson AI Lab is shaping AI-sociotechnical systems for the future.
New software designs eco-friendly clothing that can reassemble into new items
To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
Method teaches generative AI models to locate personalized objects
After being trained with this technique, vision-language models can better identify a unique item in a new scene.
Checking the quality of materials just got easier with a new AI tool
Acting as a “virtual spectrometer,” SpectroGen generates spectroscopic data in any modality, such as X-ray or infrared, to quickly assess a material’s quality.
Helping scientists run complex data analyses without writing code
Co-founded by an MIT alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology.
Using generative AI to diversify virtual training grounds for robots
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.
Uncovering new physics in metals manufacturing
MIT researchers discovered a hidden atomic order that persists in metals even after extreme processing.
Fighting for the health of the planet with AI
Assistant Professor Priya Donti’s research applies machine learning to optimize renewable energy.
Printable aluminum alloy sets strength records, may enable lighter aircraft parts
Incorporating machine learning, MIT engineers developed a way to 3D print alloys that are much stronger than conventionally manufactured versions.
New prediction model could improve the reliability of fusion power plants
The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.
AI maps how a new antibiotic targets gut bacteria
MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.
Responding to the climate impact of generative AI
Explosive growth of AI data centers is expected to increase greenhouse gas emissions. Researchers are now seeking solutions to reduce these environmental harms.
AI system learns from many types of scientific information and runs experiments to discover new materials
The new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for decades.
New AI system could accelerate clinical research
By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.
New tool makes generative AI models more likely to create breakthrough materials
With SCIGEN, researchers can steer AI models to create materials with exotic properties for applications like quantum computing.
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
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…
When AI Meets Biology: Promise, Risk, and Responsibility
Microsoft researchers reveal a confidential research effort that explored how open-source AI tools could be used to bypass biosecurity checks—and helped create fixes now influencing global standards. The post When AI Meets Biology: Promise, Risk, and Responsibility appeared first on Microsoft Research.
Using AI to assist in rare disease diagnosis
New research from Microsoft, Drexel, and the Broad explores how generative AI could support genetic professionals in rare disease diagnosis. The post Using AI to assist in rare disease diagnosis appeared first on Microsoft Research.
Tool-space interference in the MCP era: Designing for agent compatibility at scale
As agentic AI ushers in a new era marked by tool expansion, systems are converging, and complexity is rising. Microsoft Research explores the Model Context Protocol (MCP) as a new standard for agent collaboration across fragmented tool ecosystems. The post Tool-space interference in the MCP era: Designing for agent compatibility…
RenderFormer: How neural networks are reshaping 3D rendering
RenderFormer, from Microsoft Research, is the first model to show that a neural network can learn a complete graphics rendering pipeline. It’s designed to support full-featured 3D rendering using only machine learning—no traditional graphics computation required. The post RenderFormer: How neural networks are reshaping 3D rendering appeared first on Microsoft…
Breaking the networking wall in AI infrastructure
Datacenter memory and network limits are restraining AI system performance. MOSAIC uses microLEDs and a wide-and-slow optical architecture to deliver faster, longer, more reliable, and energy efficient connections that could transform AI cluster designs. The post Breaking the networking wall in AI infrastructure appeared first on Microsoft Research.
Crescent library brings privacy to digital identity systems
Crescent helps make digital IDs private by preventing tracking across uses while letting users only disclose what’s necessary from their credentials. The post Crescent library brings privacy to digital identity systems appeared first on Microsoft Research.
Applicability vs. job displacement: further notes on our recent research on AI and occupations
Recently, we released a paper Working with AI: Measuring the Occupational Implications of Generative AI that studied what occupations might find AI chatbots useful, and to what degree. The paper sparked significant discussion, which is no surprise since people care deeply about the future of AI and jobs--that’s part of why we think it’s important to study these topics. The post Applicability vs. job displacement: further notes…
Coauthor roundtable: Reflecting on healthcare economics, biomedical research, and medical education
For the series finale, Peter Lee, Carey Goldberg, and Dr. Zak Kohane compare their predictions to insights from the series’ most recent guests, including experts on AI’s economic and societal impact, leaders in AI-driven medicine, and doctors in training. The post Coauthor roundtable: Reflecting on healthcare economics, biomedical research, and…