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Empowering the next generation for an AI-enabled world
Experience AI's course and resources are expanding on a global scale
Published on: November 15, 2023 | Source:
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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
Published on: November 14, 2023 | Source: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.
Published on: October 31, 2023 | Source:Evaluating social and ethical risks from generative AI
Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems
Published on: October 19, 2023 | Source: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 robot?
Published on: October 03, 2023 | Source:A catalogue of genetic mutations to help pinpoint the cause of diseases
New AI tool classifies the effects of 71 million βmissenseβ mutations.
Published on: September 19, 2023 | Source:Identifying AI-generated images with SynthID
New tool helps watermark and identify synthetic images created by Imagen
Published on: August 29, 2023 | Source:RT-2: New model translates vision and language into action
Robotic Transformer 2 (RT-2) is a novel vision-language-action (VLA) model that learns from both web and robotics data, and translates this knowledge into generalised instructions for robotic control.
Published on: July 28, 2023 | Source:Using AI to fight climate change
AI is a powerful technology that will transform our future, so how can we best apply it to help combat climate change and find sustainable solutions?
Published on: July 21, 2023 | Source:Google DeepMindβs latest research at ICML 2023
Exploring AI safety, adaptability, and efficiency for the real world
Published on: July 20, 2023 | Source:Developing reliable AI tools for healthcare
Weβve published our joint paper with Google Research in Nature Medicine, which proposes CoDoC (Complementarity-driven Deferral-to-Clinical Workflow), an AI system that learns when to rely on predictive AI tools or defer to a clinician for the most accurate interpretation of medical images.
Published on: July 17, 2023 | Source:Exploring institutions for global AI governance
New white paper investigates models and functions of international institutions that could help manage opportunities and mitigate risks of advanced AI.
Published on: July 11, 2023 | Source:RoboCat: A self-improving robotic agent
Robots are quickly becoming part of our everyday lives, but theyβre often only programmed to perform specific tasks well. While harnessing recent advances in AI could lead to robots that could help in many more ways, progress in building general-purpose robots is slower in part because of the time needed to collect real-world training data.Our latest paper introduces a self-improving AI agent for robotics, RoboCat,...
Published on: June 20, 2023 | Source:YouTube: Enhancing the user experience
Itβs all about using our technology and research to help enrich peopleβs lives. Like YouTube β and its mission to give everyone a voice and show them the world.
Published on: June 16, 2023 | Source:Google Cloud: Driving digital transformation
Google Cloud empowers organizations to digitally transform themselves into smarter businesses. It offers cloud computing, data analytics, and the latest artificial intelligence (AI) and machine learning tools.
Published on: June 14, 2023 | Source:MuZero, AlphaZero, and AlphaDev: Optimizing computer systems
How MuZero, AlphaZero, and AlphaDev are optimizing the computing ecosystem that powers our world of devices.
Published on: June 12, 2023 | Source:AlphaDev discovers faster sorting algorithms
New algorithms will transform the foundations of computing
Published on: June 07, 2023 | Source:An early warning system for novel AI risks
New research proposes a framework for evaluating general-purpose models against novel threats
Published on: May 25, 2023 | Source:DeepMindβs latest research at ICLR 2023
Next week marks the start of the 11th International Conference on Learning Representations (ICLR), taking place 1-5 May in Kigali, Rwanda. This will be the first major artificial intelligence (AI) conference to be hosted in Africa and the first in-person event since the start of the pandemic. Researchers from around the world will gather to share their cutting-edge work in deep learning spanning the fields of AI,...
Published on: April 27, 2023 | Source:How can we build human values into AI?
Drawing from philosophy to identify fair principles for ethical AI...
Published on: April 24, 2023 | Source:Announcing Google DeepMind
DeepMind and the Brain team from Google Research will join forces to accelerate progress towards a world in which AI helps solve the biggest challenges facing humanity.
Published on: April 20, 2023 | Source:Competitive programming with AlphaCode
Solving novel problems and setting a new milestone in competitive programming.
Published on: December 08, 2022 | Source:AI for the board game Diplomacy
Successful communication and cooperation have been crucial for helping societies advance throughout history. The closed environments of board games can serve as a sandbox for modelling and investigating interaction and communication β and we can learn a lot from playing them. In our recent paper, published today in Nature Communications, we show how artificial agents can use communication to better cooperate in the...
Published on: December 06, 2022 | Source:Mastering Stratego, the classic game of imperfect information
Game-playing artificial intelligence (AI) systems have advanced to a new frontier.
Published on: December 01, 2022 | Source:DeepMindβs latest research at NeurIPS 2022
NeurIPS is the worldβs largest conference in artificial intelligence (AI) and machine learning (ML), and weβre proud to support the event as Diamond sponsors, helping foster the exchange of research advances in the AI and ML community. Teams from across DeepMind are presenting 47 papers, including 35 external collaborations in virtual panels and poster sessions.
Published on: November 25, 2022 | Source:Building interactive agents in video game worlds
Most artificial intelligence (AI) researchers now believe that writing computer code which can capture the nuances of situated interactions is impossible. Alternatively, modern machine learning (ML) researchers have focused on learning about these types of interactions from data. To explore these learning-based approaches and quickly build agents that can make sense of human instructions and safely perform actions in...
Published on: November 23, 2022 | Source:Benchmarking the next generation of never-ending learners
Learning how to build upon knowledge by tapping 30 years of computer vision research
Published on: November 22, 2022 | Source:Best practices for data enrichment
Building a responsible approach to data collection with the Partnership on AI...
Published on: November 16, 2022 | Source:The pursuit of AI educationβpast, present, and future
Meet Sylvia Christie, our education partnerships manager whoβs played a leading role in expanding our scholarship programme, which is marking its five-year anniversary.
Published on: November 08, 2022 | Source:Stopping malaria in its tracks
Developing a vaccine that could save hundreds of thousands of lives
Published on: October 13, 2022 | Source:Measuring perception in AI models
Perception β the process of experiencing the world through senses β is a significant part of intelligence. And building agents with human-level perceptual understanding of the world is a central but challenging task, which is becoming increasingly important in robotics, self-driving cars, personal assistants, medical imaging, and more. So today, weβre introducing the Perception Test, a multimodal benchmark using...
Published on: October 12, 2022 | Source:How undesired goals can arise with correct rewards
As we build increasingly advanced artificial intelligence (AI) systems, we want to make sure they donβt pursue undesired goals. Such behaviour in an AI agent is often the result of specification gaming β exploiting a poor choice of what they are rewarded for. In our latest paper, we explore a more subtle mechanism by which AI systems may unintentionally learn to pursue undesired goals: goal misgeneralisation (GMG).GMG...
Published on: October 07, 2022 | Source:Discovering novel algorithms with AlphaTensor
In our paper, published today in Nature, we introduce AlphaTensor, the first artificial intelligence (AI) system for discovering novel, efficient, and provably correct algorithms for fundamental tasks such as matrix multiplication. This sheds light on a 50-year-old open question in mathematics about finding the fastest way to multiply two matrices. This paper is a stepping stone in DeepMindβs mission to advance science...
Published on: October 05, 2022 | Source:Fighting osteoporosis before it starts
Detecting signs of disease before bones start to break
Published on: September 27, 2022 | Source:Understanding the faulty proteins linked to cancer and autism
Helping uncover how protein mutations cause diseases and disorders
Published on: September 26, 2022 | Source: