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.
AI-driven ads take the field during the 2025 Super Bowl
We’ve officially experienced an AI Super Bowl, people. As everyone tuned in to watch the annual championship game, the biggest buzz wasn’t just about the Eagles’ blowout win and Kendrick Lamar performing his Grammy-winning diss track at the halftime show. It was also about AI being a consistent theme in several…
AI pioneer Fei-Fei Li warns policymakers not to let sci-fi sensationalism shape AI rules
Fei-Fei Li, the Stanford researcher who also founded World Labs, was invited to the Grand Palais in Paris on Monday to give the opening speech at the Artificial Intelligence Action Summit which is taking place this week. While she shared some of her talking points over the weekend, her stance…
Macron unveils $112B AI investment package, France’s answer to US’ Stargate
Late Sunday local time the French president, Emmanuel Macron, announced a total of €109 billion in private investments in the AI ecosystem — or around $112 billion at current exchange rates. Paris is hosting the Artificial Intelligence Action Summit this week — the third international summit focused on AI after…
OpenAI CEO Sam Altman admits that AI’s benefits may not be widely distributed
In a new essay on his personal blog, OpenAI CEO Sam Altman said the company is open to a “compute budget,” among other “strange-sounding” ideas, to “enable everyone on Earth to use a lot of AI” and ensure the benefits of the technology are widely distributed. “The historical impact of…
DeepSeek’s R1 reportedly ‘more vulnerable’ to jailbreaking than other AI models
The latest model from DeepSeek, the Chinese AI company that’s shaken up Silicon Valley and Wall Street, can be manipulated to produce harmful content such as plans for a bioweapon attack and a campaign to promote self-harm among teens, according to The Wall Street Journal. Sam Rubin, senior vice president…
Apple could launch a new iPhone SE and PowerBeats Pro 2 on February 11
Apple could launch a new iPhone SE and PowerBeats Pro headphones as early as February 11, according to reporting from Bloomberg. The announcement is likely to be on the smaller side, given that the company has not yet issued invites for either an in-person or virtual event. A new iPhone…
Investments in French AI ecosystem reach $85B as Brookfield commits $20B
Canadian investment firm Brookfield plans to invest €20 billion by 2030 in artificial intelligence projects in France (around $20.7 billion at current exchange rates), according to a report from La Tribune Dimanche confirmed by news agency AFP. The majority of the sum will be used to build AI-focused data centers.…
Apple’s new research robot takes a page from Pixar’s playbook
Last month, Apple offered up more insight into its consumer robotics work via a research paper that argues that traits like expressive movements are key to optimizing human-robot interaction. “Like most animals,” starts the report, “humans are highly sensitive to motion and subtle changes in movement.” To illustrate its point,…
AI pioneer Fei-Fei Li says AI policy must be based on ‘science, not science fiction’
Fei-Fei Li, the Stanford computer scientist and startup founder sometimes known as “the Godmother of AI,” has outlined “three fundamental principles for the future of AI policymaking” ahead of next week’s AI Action Summit in Paris. First, Li said policy must be based on “science, not science fiction.” In other…
Autodesk CTO Raji Arasu calls for diversity in the teams building AI
To give AI-focused women academics and others their well-deserved — and overdue — time in the spotlight, TechCrunch has been publishing a series of interviews focusing on remarkable women who’ve contributed to the AI revolution. Raji Arasu, the CTO of Autodesk, said that she’s been using AI for “multiple decades” to…
Why the ‘spirit’ of open source means much more than a license
Arguments about what is and isn’t “open source” are often resolved by deferring to the Open Source Initiative (OSI): If a piece of software is available under a license rubber stamped as “open source” by the OSI’s formal “definition,” then that software is open source. But waters muddy when you…
Christie’s announces AI art auction, and not everyone is pleased
Fine art auction house, Christie’s, has sold AI-generated art before. But soon, it plans to hold its first show dedicated solely to works created with AI, an announcement that has been met with mixed reviews. The auction, which Christie’s is calling ‘Augmented Intelligence,’ will feature artwork from artists including Mat…
Anthropic CEO says DeepSeek was ‘the worst’ on a critical bioweapons data safety test
Anthropic's CEO Dario Amodei claims DeepSeek generated sensitive bioweapons data in a safety test it ran. © 2024 TechCrunch. All rights reserved. For personal use only.
OpenAI plans to open an office in Germany
OpenAI is expanding its footprint to Germany. According to a press release issued Friday, the ChatGPT maker plans to open an office in Munich in the coming months. “Germany is renowned for its technical expertise, academic excellence, and industrial innovation,” OpenAI CEO Sam Altman said in a statement. “Opening our…
Andrew Ng is ‘very glad’ Google dropped its AI weapons pledge
Andrew Ng, the founder and former leader of Google Brain, supports Google’s recent decision to drop its pledge not to build AI systems for weapons. “I’m very glad that Google has changed its stance,” Ng said during an onstage interview Thursday evening with TechCrunch at the Military Veteran Startup Conference…
Tesla’s Dojo, a timeline
Elon Musk doesn’t want Tesla to be just an automaker. He wants Tesla to be an AI company, one that’s figured out how to make cars drive themselves. Crucial to that mission is Dojo, Tesla’s custom-built supercomputer designed to train its Full Self-Driving (FSD) neural networks. FSD isn’t actually fully…
DeepMind claims its AI performs better than International Mathematical Olympiad gold medalists
An AI system developed by Google DeepMind, Google’s leading AI research lab, appears to have surpassed the average gold medalist in solving geometry problems in an international mathematics competition. The system, called AlphaGeometry2, is an improved version of a system, AlphaGeometry, that DeepMind released last January. In a newly published…
Self Inspection raises $3M for its AI-powered vehicle inspections
A number of startups are racing to make vehicle inspections faster, easier, and cheaper. Self Inspection, a startup based in San Diego, thinks it has them all beat with its AI-powered service — and now it has convinced outside investors. Self Inspection, founded in 2021, is set to announce Thursday…
Bpifrance will invest $10B in the French AI ecosystem by 2029
France’s public investment bank announced that it plans to invest as much as €10 billion (around $10.3 billion at current exchange rates) in the artificial intelligence ecosystem in France. This announcement comes a few days before heads of state and global tech leaders gather for the Artificial Intelligence Action Summit…
DeepSeek: Everything you need to know about the AI chatbot app
DeepSeek has gone viral. Chinese AI lab DeepSeek broke into the mainstream consciousness this week after its chatbot app rose to the top of the Apple App Store charts (and Google Play, as well). DeepSeek’s AI models, which were trained using compute-efficient techniques, have led Wall Street analysts — and technologists — to question whether…
Puzzling out climate change
Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.
Creating a common language
New faculty member Kaiming He discusses AI’s role in lowering barriers between scientific fields and fostering collaboration across scientific disciplines.
Validation technique could help scientists make more accurate forecasts
MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.
Streamlining data collection for improved salmon population management
Assistant Professor Sara Beery is using automation to improve monitoring of migrating salmon in the Pacific Northwest.
User-friendly system can help developers build more efficient simulations and AI models
By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.
MIT engineers help multirobot systems stay in the safety zone
New research could improve the safety of drone shows, warehouse robots, and self-driving cars.
3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities
MIT CSAIL Principal Research Scientist Una-May O’Reilly discusses how she develops agents that reveal AI models’ security weaknesses before hackers do.
MIT students' works redefine human-AI collaboration
Projects from MIT course 4.043/4.044 (Interaction Intelligence) were presented at NeurIPS, showing how AI transforms creativity, education, and interaction in unexpected ways.
New training approach could help AI agents perform better in uncertain conditions
Sometimes, it might be better to train a robot in an environment that’s different from the one where it will be deployed.
A platform to expedite clean energy projects
Station A, founded by MIT alumni, makes the process of buying clean energy simple for property owners.
Toward video generative models of the molecular world
Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.
Explained: Generative AI’s environmental impact
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
Algorithms and AI for a better world
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
Making the art world more accessible
The startup NALA, which began as an MIT class project, directly matches art buyers with artists.
New computational chemistry techniques accelerate the prediction of molecules and materials
With their recently-developed neural network architecture, MIT researchers can wring more information out of electronic structure calculations.
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
Advances to low-bit quantization enable LLMs on edge devices
Advances in low-bit quantization techniques enable efficient operation of LLMs on resource-constrained edge devices. Discover how innovations like T-MAC, Ladder, and LUT Tensor Core improve computational efficiency and enhance hardware compatibility. The post Advances to low-bit quantization enable LLMs on edge devices appeared first on Microsoft Research.
Research Focus: Week of January 27, 2025
In this issue: A new approach to multimodal pretraining for remote sensing; Managed-retention memory for the AI era; Improving detection of macular telangiectasia type 2; Generalizing symbolic automata. The post Research Focus: Week of January 27, 2025 appeared first on Microsoft Research.
Ideas: Bug hunting with Shan Lu
Struggles with programming languages helped research manager Shan Lu find her calling as a bug hunter. She discusses one bug that really haunted her, the thousands she’s identified since, and how she’s turning to LLMs to help make software more reliable. The post Ideas: Bug hunting with Shan Lu appeared…
Research Focus: Week of January 13, 2025
In this edition: Privacy enhancements for multiparty deep learning; using smaller, open-source models to provide relevance judgments; new tool uses AI, data to automate innovation and development; Yasuyuki Matsushita named IEEE 2025 Computer Society Fellow. The post Research Focus: Week of January 13, 2025 appeared first on Microsoft Research.
Ideas: AI for materials discovery with Tian Xie and Ziheng Lu
How do you generate and test materials that don’t exist yet? Researchers Tian Xie and Ziheng Lu share the story behind MatterGen and MatterSim, AI tools poised to transform materials discovery and help drive advances in energy, manufacturing, and sustainability. The post Ideas: AI for materials discovery with Tian Xie…
MatterGen: A new paradigm of materials design with generative AI
Microsoft researchers introduce MatterGen, a model that can discover new materials tailored to specific needs—like efficient solar cells or CO2 recycling—advancing progress beyond trial-and-error experiments. The post MatterGen: A new paradigm of materials design with generative AI appeared first on Microsoft Research.
AutoGen v0.4: Reimagining the foundation of agentic AI for scale, extensibility, and robustness
Announcing AutoGen 0.4, fully reimagined library for building advanced agentic AI systems, developed to improve code quality and robustness. Its asynchronous, event-driven architecture is designed to support dynamic, scalable workflows. The post AutoGen v0.4: Reimagining the foundation of agentic AI for scale, extensibility, and robustness appeared first on Microsoft Research.
AIOpsLab: Building AI agents for autonomous clouds
AIOpsLab is an open-source framework designed to evaluate and improve AI agents for cloud operations, offering standardized, scalable benchmarks for real-world testing, enhancing cloud system reliability. The post AIOpsLab: Building AI agents for autonomous clouds appeared first on Microsoft Research.
Ideas: AI and democracy with Madeleine Daepp and Robert Osazuwa Ness
As the “biggest election year in history” comes to an end, researchers Madeleine Daepp and Robert Osazuwa Ness and Democracy Forward GM Ginny Badanes discuss AI’s impact on democracy, including Daepp and Ness’s research into the tech’s use in Taiwan and India. The post Ideas: AI and democracy with Madeleine…
Research Focus: Week of December 16, 2024
NeoMem: hardware/software co-design for CXL-native memory tiering; Chimera: accurate retrosynthesis prediction by ensembling models with diverse inductive biases; GA4GH task execution API enables multicloud task execution. The post Research Focus: Week of December 16, 2024 appeared first on Microsoft Research.