Jul 02

Capture the Flag: the emergence of complex cooperative agents

Recent progress in artificial intelligence through reinforcement learning (RL) has shown great success on increasingly complex single-agent environments and two-player turn-based games. However, the real world contains multiple agents, each learning and acting independently to cooperate and compete with other agents, and environments reflecting this degree of complexity remain an open challenge. In this work, we demonstrate for the first time that an agent can achieve human-level in a popular 3D multiplayer first-person video game, Quake III Arena Capture the Flag, using only pixels and game points as input.

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Dec 22

MuZero: Mastering Go, chess, shogi and Atari without rules

In a paper in the journal Nature, we describe MuZero, a significant step forward in the pursuit of general-purpose algorithms. MuZero masters Go, chess, shogi and Atari without needing to be told the rules, thanks to its ability to plan winning strategies in unknown environments.

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Dec 03

Using JAX to accelerate our research

We've found that an increasing number of projects are well served by JAX, a machine learning framework developed by Google Research teams. JAX resonates well with our engineering philosophy and has been widely adopted by our research community over the last year.

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Nov 29

AlphaFold: a solution to a 50-year-old grand challenge in biology

In a major scientific advance, the latest version of our AI system AlphaFold has been recognised as a solution to the protein folding problem by the organisers of the biennial Critical Assessment of protein Structure Prediction (CASP).

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Products and Case Studies

Deepmind - Deepmind - Dnc

We introduced a form of memory-augmented neural network called a differentiable neural computer (DNC), and demonstrated that it can learn to use its memory to answer questions about complex, structured data.

Deepmind - Deepmind - Dqn

We leveraged recent breakthroughs in training deep neural networks to show that a novel end-to-end reinforcement learning agent, termed a deep Q-network (DQN), was able to surpass the overall performance of a professional human reference player.

Deepmind - Deepmind - Alphago

AlphaGo is the first computer program to defeat a professional human Go player, the first program to defeat a Go world champion, and arguably the strongest Go player in history.

Case Study : Safety-First Ai For Autonomous Data Centre Cooling And Industrial Control | Deepmind

In 2016, DeepMind and Google jointly developed an AI-powered recommendations system to improve the energy efficiency of Google’s already highly-optimised data centres. Now we’re taking...

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Case Study : The Promising Role Of Ai In Helping Plan Treatment For Patients With Head & Neck Cancers | Deepmind

Early results from our partnership with the Radiotherapy Department at University College London Hospitals NHS Foundation Trust suggest that we are well on our way...

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Case Study : Predicting Eye Disease With Moorfields Eye Hospital | Deepmind

In August, we announced the first stage of our joint research partnership with Moorfields Eye Hospital, which showed how AI could match world-leading doctors at...

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