atlas news
    
DeepMind
17  décembre     15h29
FACTS Grounding: A new benchmark for evaluating the factuality of large language models
   Our comprehensive benchmark and online leaderboard offer a much needed measure of how accurately LLMs ground their responses in provided source material and avoid hallucinations
16  décembre     17h01
State-of-the-art video and image generation with Veo 2 and Imagen 3
   We’re rolling out a new, state of the art video model, Veo, and updates to Imagen . Plus, check out our new experiment, Whisk.
11  décembre     15h30
Introducing Gemini 2.0: our new AI model for the agentic era
   Today, we’re announcing Gemini . , our most capable multimodal AI model yet.
05  décembre     17h45
Google DeepMind at NeurIPS 2024
   Advancing adaptive AI agents, empowering D scene creation, and innovating LLM training for a smarter, safer future
04  décembre     15h59
GenCast predicts weather and the risks of extreme conditions with state-of-the-art accuracy
   New AI model advances the prediction of weather uncertainties and risks, delivering faster, more accurate forecasts up to days ahead
    14h23
Genie 2: A large-scale foundation world model
   Generating unlimited diverse training environments for future general agents
20  novembre     18h00
AlphaQubit tackles one of quantum computing’s biggest challenges
   Our new AI system accurately identifies errors inside quantum computers, helping to make this new technology more reliable.
18  novembre     19h57
The AI for Science Forum: A new era of discovery
   The AI Science Forum highlights AI’s present and potential role in revolutionizing scientific discovery and solving global challenges, emphasizing collaboration between the scientific community, policymakers, and industry leaders.
30  octobre     15h00
Pushing the frontiers of audio generation
   Our pioneering speech generation technologies are helping people around the world interact with more natural, conversational and intuitive digital assistants and AI tools.
23  octobre     16h53
New generative AI tools open the doors of music creation
   Our latest AI music technologies are now available in MusicFX DJ, Music AI Sandbox and YouTube Shorts
09  octobre     11h45
Demis Hassabis & John Jumper awarded Nobel Prize in Chemistry
   The award recognizes their work developing AlphaFold, a groundbreaking AI system that predicts the D structure of proteins from their amino acid sequences.
26  septembre     14h08
How AlphaChip transformed computer chip design
   Our AI method has accelerated and optimized chip design, and its superhuman chip layouts are used in hardware around the world.
24  septembre     16h03
Updated production-ready Gemini models, reduced 1.5 Pro pricing, increased rate limits, and more
   We’re releasing two updated production ready Gemini models
18  septembre     14h30
Empowering YouTube creators with generative AI
   New video generation technology in YouTube Shorts will help millions of people realize their creative vision
12  septembre     14h00
Our latest advances in robot dexterity
   Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement
05  septembre     15h00
AlphaProteo generates novel proteins for biology and health research
   New AI system designs proteins that successfully bind to target molecules, with potential for advancing drug design, disease understanding and more.
22  août     19h00
FermiNet: Quantum physics and chemistry from first principles
   Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
05  août     12h00
A new generation of African talent brings cutting-edge AI to scientific challenges
   Food security, healthcare and exploring the cosmos are among the ways students of a new pan African Master’s program aspire to apply AI
02  août     10h50
Mapping the misuse of generative AI
   New research analyzes the misuse of multimodal generative AI today, in order to help build safer and more responsible technologies.
31  juillet     15h59
Gemma Scope: helping the safety community shed light on the inner workings of language models
   Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
25  juillet     15h29
AI achieves silver-medal standard solving International Mathematical Olympiad problems
   Breakthrough models AlphaProof and AlphaGeometry solve advanced reasoning problems in mathematics
19  juillet     10h00
Google DeepMind at ICML 2024
   Exploring AGI, the challenges of scaling and the future of multimodal generative AI
17  juin     16h00
Generating audio for video
   Video to audio research uses video pixels and text prompts to generate rich soundtracks
20  mai     07h00
Looking ahead to the AI Seoul Summit
   How summits in Seoul, France and beyond can galvanize international cooperation on frontier AI safety
17  mai     14h00
Introducing the Frontier Safety Framework
   Our approach to analyzing and mitigating future risks posed by advanced AI models
14  mai     17h58
Gemini breaks new ground: a faster model, longer context and AI agents
   We’re introducing a series of updates across the Gemini family of models, including the new . Flash, our lightweight model for speed and efficiency, and Project Astra, our vision for the future of AI assistants.
    17h57
New generative media models and tools, built with and for creators
   We’re introducing Veo, our most capable model for generating high definition video, and Imagen, our highest quality text to image model. We’re also sharing new demo recordings created with our Music AI Sandbox.
    17h56
Watermarking AI-generated text and video with SynthID
   Announcing our novel watermarking method for AI generated text and video, and how we’re bringing SynthID to key Google products
08  mai     16h00
AlphaFold 3 predicts the structure and interactions of all of life’s molecules
   Introducing a new AI model developed by Google DeepMind and Isomorphic Labs.
03  mai     13h39
Google DeepMind at ICLR 2024
   Developing next gen AI agents, exploring new modalities, and pioneering foundational learning
19  avril     10h00
The ethics of advanced AI assistants
   Exploring the promise and risks of a future with more capable AI
19  mars     16h03
TacticAI: an AI assistant for football tactics
   As part of our multi year collaboration with Liverpool FC, we develop a full AI system that can advise coaches on corner kicks
13  mars     14h00
A generalist AI agent for 3D virtual environments
   Introducing SIMA, a Scalable Instructable Multiworld Agent
21  février     13h06
Gemma: Introducing new state-of-the-art open models
   Gemma is built for responsible AI development from the same research and technology used to create Gemini models.
15  février     15h00
Our next-generation model: Gemini 1.5
   The model delivers dramatically enhanced performance, with a breakthrough in long context understanding across modalities.
08  février     13h00
The next chapter of our Gemini era
   We’re bringing Gemini to more Google products
17  janvier     16h00
AlphaGeometry: An Olympiad-level AI system for geometry
   Advancing AI reasoning in mathematics
04  janvier     11h39
Shaping the future of advanced robotics
   Introducing AutoRT, SARA RT, and RT Trajectory
02  janvier     16h00
Images altered to trick machine vision can influence humans too
   In a series of experiments published in Nature Communications, we found evidence that human judgments are indeed systematically influenced by adversarial perturbations.
22  décembre     13h30
2023: A Year of Groundbreaking Advances in AI and Computing
   This has been a year of incredible progress in the field of Artificial Intelligence AI research and its practical applications.
14  décembre     16h00
FunSearch: Making new discoveries in mathematical sciences using Large Language Models
   In a paper published in Nature, we introduce FunSearch, a method for searching for functions written in computer code, and find new solutions in mathematics and computer science. FunSearch works by pairing a pre trained LLM, whose goal is to provide creative solutions in the form of computer...
08  décembre     15h01
Google DeepMind at NeurIPS 2023
   The Neural Information Processing Systems NeurIPS is the largest artificial intelligence AI conference in the world. NeurIPS will be taking place December in New Orleans, USA.Teams from across Google DeepMind are presenting more than papers at the main conference and workshops.
06  décembre     15h13
Introducing Gemini: our largest and most capable AI model
   Making AI more helpful for everyone
29  novembre     16h04
Millions of new materials discovered with deep learning
   We share the discovery of . million new crystals equivalent to nearly years’ worth of knowledge. We introduce Graph Networks for Materials Exploration GNoME , our new deep learning tool that dramatically increases the speed and efficiency of discovery by predicting the stability of new...
16  novembre     07h20
Transforming the future of music creation
   Announcing our most advanced music generation model and two new AI experiments, designed to open a new playground for creativity
15  novembre     10h00
Empowering the next generation for an AI-enabled world
   Experience AI’s course and resources are expanding on a global scale
14  novembre     15h00
GraphCast: AI model for faster and more accurate global weather forecasting
   We introduce GraphCast, a state of the art AI model able to make medium range weather forecasts with unprecedented accuracy
31  octobre     13h00
A glimpse of the next generation of AlphaFold
   Progress update: Our latest AlphaFold model shows significantly improved accuracy and expands coverage beyond proteins to other biological molecules, including ligands.
19  octobre     15h00
Evaluating social and ethical risks from generative AI
   Introducing a context based framework for comprehensively evaluating the social and ethical risks of AI systems
03  octobre     15h00
Scaling up learning across many different robot types
   Robots are great specialists, but poor generalists. Typically, you have to train a model for each task, robot, and environment. Changing a single variable often requires starting from scratch. But what if we could combine the knowledge across robotics and create a way to train a general purpose...