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.
TensorWave raises $100M to grow its AMD-powered cloud infrastructure
TensorWave, a data center provider building facilities primarily with AMD hardware, has raised $100 million as it seeks to further build out its data center infrastructure. The funding round was led by Magnetar and AMD Ventures, and brings the company’s total capital raised to $146.7 million, according to Crunchbase. Maverick…
Attend TechCrunch Sessions: AI with this new, limited-time discount
We’re excited to announce a big surprise for the AI community — TechCrunch Sessions: AI is getting a limited-time discount to broaden the number of people who can attend and learn from some of the brightest minds in the industry. For just $292, you can get a general admission ticket…
Google tests replacing ‘I’m Feeling Lucky’ with ‘AI Mode’
Google is testing a redesign of its Search homepage in which “AI Mode,” the experimental AI-powered search feature the company rolled out earlier in May, replaces its longstanding “I’m Feeling Lucky” button under the Search bar. A company spokesperson confirmed to The Verge, which was the first to report the…
xAI’s promised safety report is MIA
Elon Musk’s AI company, xAI, has missed a self-imposed deadline to publish a finalized AI safety framework, as noted by watchdog group The Midas Project. xAI isn’t exactly known for its strong commitments to AI safety as it’s commonly understood. A recent report found that the company’s AI chatbot, Grok, would…
Anthropic, Google score win by nabbing OpenAI-backed Harvey as a user
Popular legal AI tool Harvey will now be using leading foundation models from Anthropic and Google, moving beyond strictly using OpenAI’s, Harvey announced in a blog post on Tuesday. This is noteworthy because Harvey is one of the OpenAI Startup Fund’s most successful early-backed portfolio companies. The OpenAI Startup Fund…
AWS enters into ‘strategic partnership’ with Saudi Arabia-backed Humain
Amazon says it will work with Humain, the AI company recently launched by Saudi Arabia’s ruler, Mohammed bin Salman, to invest “$5 billion-plus” in a strategic partnership to build an “AI Zone” in Saudi Arabia. The AI Zone will include dedicated Amazon Web Services (AWS) AI infrastructure, servers, networks, and…
Tencent hires WizardLM team, a Microsoft AI group with an odd history
WizardLM, a Beijing-based Microsoft AI research group, appears to have joined Tencent, the Chinese company that owns WeChat and blockbuster games like PUBG Mobile. In a post on X on Tuesday, Can Xu, a senior AI researcher who led a number of projects within WizardLM, said that he and the…
TikTok launches TikTok AI Alive, a new image-to-video tool
TikTok is launching its first image-to-video AI feature, the company announced on Tuesday. The new feature is called “TikTok AI Alive” and allows users to turn static photos into videos within TikTok Stories. The feature is only accessible via TikTok’s Story Camera and uses AI to create short-form videos with…
Google is bringing Gemini to Wear OS smartwatches and Google TV
During the Android Show on Tuesday, leading up to Google I/O, Google announced that it’s bringing Gemini to Wear OS smartwatches and Google TV. The announcement is part of Google’s plans to replace Google Assistant with Gemini across all of its devices and platforms. Tuesday’s announcement doesn’t come as a…
Google’s bringing Gemini to your car with Android Auto
Google is bringing Gemini, its generative AI, to all cars that support Android Auto in the next few months, the company announced at its Android Show ahead of the company’s 2025 I/O developer conference. The company says adding Gemini functionality to Android Auto and, later this year, to cars that…
ChatGPT: Everything you need to know about the AI-powered chatbot
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…
Trump administration officially rescinds Biden’s AI diffusion rules
After a week or so of rumors, the U.S. Department of Commerce (DOC) formally rescinded the Biden administration’s Artificial Intelligence Diffusion Rule days before it was set to go into effect. The Artificial Intelligence Diffusion Rule, which was introduced by former president Joe Biden in January and set to come…
Audible is expanding its AI-narrated audiobook library
Audible, Amazon’s audiobook service, announced on Tuesday that it’s partnering with select publishers to convert print and e-books into AI-narrated audiobooks. This initiative aims to quickly expand its catalog as it competes with Apple, Spotify, and others in the rapidly growing audiobook market. Audible is leveraging Amazon’s AI capabilities to…
Spotify’s AI DJ now lets you use voice commands to personalize your tunes
In a bid to make its AI DJ feel more interactive, Spotify is updating the feature to allow users to request music or change the mood of a playlist using voice commands. The company is rolling out this feature, initially only supported in English, in over 60 markets for its…
Anthropic co-founder Jared Kaplan is coming to TechCrunch Sessions: AI
Hungry to learn more about Anthropic, directly from Anthropic? You aren’t alone if so, which is why we’re so delighted to announce that Anthropic co-founder and Chief Science Officer Jared Kaplan is joining the main stage at TechCrunch Sessions: AI on June 5 at UC Berkeley’s Zellerbach Hall. And TechCrunch…
Improvements in ‘reasoning’ AI models may slow down soon, analysis finds
An analysis by Epoch AI, a nonprofit AI research institute, suggests the AI industry may not be able to eke massive performance gains out of reasoning AI models for much longer. As soon as within a year, progress from reasoning models could slow down, according to the report’s findings. Reasoning…
AllTrails debuts $80/year membership that includes AI-powered smart routes
AllTrails, the hiking and biking companion that was named 2023’s iPhone App of the Year, is launching a new premium membership called “Peak” that includes an upgraded feature set. This $80-per-year subscription will introduce AI tools to build custom routes and provide real-time trail condition forecasts, trail traffic heatmaps, and…
Microsoft Build 2025: What to expect, from Azure to Copilot upgrades
Microsoft is hosting its annual Build developer conference next week from May 19 to 22. The event is guaranteed to include announcements regarding new AI integrations, services, and apps, including for Windows. At last year’s Build, Microsoft announced an integration of Copilot into Microsoft Teams, Copilot+ AI-powered PCs, Windows Volumetric…
Google I/O 2025: How to watch all the AI and Android reveals
Google is gearing up to hold its largest developer conference of the year, Google I/O 2025, on May 20 and May 21. CEO Sundar Pichai, DeepMind CEO and co-founder Demis Hassabis, and executives in charge of Search, Cloud, and Android will announce major updates to Google’s product offerings. We’re expecting…
Even a16z VCs say no one really knows what an AI agent is
Buzzwords that are stretched to the point of being meaningless are as old as the tech industry itself. The top current one is “AI agent” and its variants, like “agentic.” So, unsurprisingly, no one really knows what an AI agent is. Even people with software engineering backgrounds who work for Andreessen Horowitz,…
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.
New model predicts a chemical reaction’s point of no return
Chemists could use this quick computational method to design more efficient reactions that yield useful compounds, from fuels to pharmaceuticals.
“Periodic table of machine learning” could fuel AI discovery
Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.
Making AI-generated code more accurate in any language
A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.
A faster way to solve complex planning problems
By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.
Training LLMs to self-detoxify their language
A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.
New method efficiently safeguards sensitive AI training data
The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.
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
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.
Microsoft Fusion Summit explores how AI can accelerate fusion 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…
Abstracts: Societal AI with Xing Xie
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…
Societal AI: Building human-centered AI systems
Learn about a new white paper on Societal AI, an interdisciplinary framework for guiding AI development that reflects shared human values. It presents key research challenges and emphasizes collaboration across disciplines. The post Societal AI: Building human-centered AI systems appeared first on Microsoft Research.
Laws, norms, and ethics for AI in health
Healthcare experts Laura Adams, Vardit Ravitsky, and Dr. Roxana Daneshjou discuss responsible AI implementation in medicine, examining governance approaches, shifting patient-provider relationships, and the identification of bias to ensure equitable deployment. The post Laws, norms, and ethics for AI in health appeared first on Microsoft Research.
Research Focus: Week of April 21, 2025
In this issue: our CHI 2025 & ICLR 2025 contributions, plus research on causal reasoning & LLMs; countering LLM jailbreak attacks; and how people use AI vs. AI-alone. Also, SVP of Microsoft Health Jim Weinstein talks rural healthcare innovation. The post Research Focus: Week of April 21, 2025 appeared first…
The Future of AI in Knowledge Work: Tools for Thought at CHI 2025
Join us at CHI 2025 to explore how AI systems can be used as Tools for Thought as we reimage AI’s role in human thinking. Learn about new research, prototypes, and a workshop on designing AI that supports critical thinking, decision-making, and creativity. The post The Future of AI in…
Empowering patients and healthcare consumers in the age of generative AI
Evangelist for patient empowerment Dave deBronkart and Manatt Heath’s Christina Farr discuss how generative AI is redefining healthcare by empowering patients, challenging traditional care models, and creating new opportunities for innovation and collaboration. The post Empowering patients and healthcare consumers in the age of generative AI appeared first on Microsoft…