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.
Venture capitalists have always focused on investing in companies that leverage technology to either disrupt established industries or create entirely new business categories. But some VCs are starting to flip the script on their investing styles. Rather than funding startups, they are acquiring mature businesses — such as call centers,…
Mistral AI, the French company behind AI assistant Le Chat and several foundational models, is officially regarded as one of France’s most promising tech startups and is arguably the only European company that could compete with OpenAI. But compared to its $6 billion valuation, its global market share is still…
Last week, Elon Musk’s AI chatbot Grok experienced a “bug” that made it tell users about the “white genocide” conspiracy theory in South Africa, even when prompted with questions that had nothing to do with the topic … and soon after, Grok expressed skepticism over the Holocaust death toll, which it…
OpenAI is updating the AI model powering Operator, its AI agent that can autonomously browse the web and use certain software within a cloud-hosted virtual machine to fulfill users’ requests. Soon, Operator will use a model based on o3, one of the latest in OpenAI’s o series of “reasoning” models. Previously,…
One of Microsoft’s latest AI models can accurately predict air quality, hurricanes, typhoons, and other weather-related phenomena, the company claims. In a paper published in the journal Nature and an accompanying blog post this week, Microsoft detailed Aurora, which the tech giant says can forecast atmospheric events with greater precision…
OpenAI just made its biggest acquisition yet, scooping up Jony Ive and Sam Altman’s secretive device startup, io, in a $6.5 billion all-equity deal. Ive, the legendary designer behind the iPhone and other iconic Apple products, will now lead creative and design work at OpenAI through his firm LoveFrom. The…
ChatGPT, OpenAI’s text-generating AI chatbot, has taken the world by storm since its launch in November 2022. What started as a tool to supercharge productivity through writing essays and code with short text prompts has evolved into a behemoth with 300 million weekly active users. 2024 was a big year…
As generative AI becomes faster, cheaper, and more convincing, the ethical stakes are no longer theoretical. What happens when the tools to deceive become widely accessible? And how do we build systems that are powerful — but safe enough to trust? At TechCrunch Sessions: AI, taking place June 5 at…
In the startup world, access to cutting-edge tools isn’t the biggest obstacle — it’s knowing how to wield them with precision. At TechCrunch Sessions: AI, taking place on June 5 at UC Berkeley’s Zellerbach Hall, we’re digging into the frameworks and decisions that determine whether an AI startup can scale…
Time’s almost up — save big before prices jump in 3 days! You’ve got until May 25 at 11:59 p.m. PT to save up to $900 on individual tickets to TechCrunch Disrupt 2025. Or double your impact — grab one Early Bird pass and get another for your +1 at…
After Klarna CEO, Zoom's CEO opts to use AI avatar for initial comments during the earnings call
Anthropic CEO Dario Amodei believes today’s AI models hallucinate, or make things up and present them as if they’re true, at a lower rate than humans do, he said during a press briefing at Anthropic’s first developer event, Code with Claude, in San Francisco on Thursday. Amodei said all this…
Anthropic’s new flagship AI model, Claude Opus 4, is a strong programmer and writer, the company claims. When talking to itself, it’s also a prolific emoji user. That’s according to a technical report Anthropic released on Thursday, a part of which investigates how Opus 4 behaves in “open-ended self-interaction” —…
A third-party research institute that Anthropic partnered with to test one of its new flagship AI models, Claude Opus 4, recommended against deploying an early version of the model due to its tendency to “scheme” and deceive. According to a safety report Anthropic published Thursday, the institute, Apollo Research, conducted…
Anthropic’s newly launched Claude Opus 4 model frequently tries to blackmail developers when they threaten to replace it with a new AI system and give it sensitive information about the engineers responsible for the decision, the company said in a safety report released Thursday. During pre-release testing, Anthropic asked Claude…
The company already has more than 12 gigawatts of capacity in its renewable power portfolio.
During its inaugural developer conference Thursday, Anthropic launched two new AI models that the startup claims are among the industry’s best, at least in terms of how they score on popular benchmarks. Claude Opus 4 and Claude Sonnet 4, part of Anthropic’s new Claude 4 family of models, can analyze…
The team behind Vercel’s V0, an AI-powered platform for web creation, has developed an AI model it claims excels at certain website development tasks. Available through an API, the model, called “v0-1.0-md,” can be prompted with text or images, and was “optimized for front-end and full-stack web development,” the Vercel…
Get ready to amplify your TechCrunch Sessions: AI experience with the electrifying lineup of Side Events taking Berkeley by storm during the week of June 1-7. As the countdown to TC Sessions: AI begins, we’re thrilled to share our Side Events lineup to foster meaningful connections within the vibrant Berkeley, California, tech community. Whether you’re a…
As rumored, OpenAI is expanding its ambitious Stargate data center project to the Middle East. On Thursday, the company announced Stargate UAE, which will bring a 1GW data center cluster to Abu Dhabi. OpenAI expects 200MW will go live in 2026, developed with partners including G42, Oracle, Nvidia, Cisco, and…
This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.
Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.
A detailed MIT analysis identifies some promising options but also raises unexpected concerns.
The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.
A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.
“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
New type of “state-space model” leverages principles of harmonic oscillators.
A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
Ultraviolet light “fingerprints” on cell cultures and machine learning can provide a definitive yes/no contamination assessment within 30 minutes.
A new approach could enable intuitive robotic helpers for household, workplace, and warehouse settings.
Chemists could use this quick computational method to design more efficient reactions that yield useful compounds, from fuels to pharmaceuticals.
Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.
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…
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…
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…
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…
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…
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.…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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, 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.
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…
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…
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…
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.
The first Microsoft Research Fusion Summit brought together global experts to explore how AI can help unlock the potential of fusion energy. Discover how collaborations with leading institutions can help speed progress toward clean, scalable energy. The post Microsoft Fusion Summit explores how AI can accelerate fusion research appeared first…
New AI models aren’t just changing the world of research; they’re also poised to impact society. Xing Xie talks about Societal AI, a white paper that explores the changing landscape with an eye to future research and improved communication across disciplines. The post Abstracts: Societal AI with Xing Xie appeared…
