Blog

Using AI to give doctors a 48-hour head start on life-threatening illness

Artificial intelligence can now predict one of the leading causes of avoidable patient harm up to two days before it...

How evolutionary selection can train more capable self-driving cars

Unsupervised learning: The curious pupil

One in a series of posts explaining the theories underpinning our research. Over the last decade, machine learning has...

Capture the Flag: the emergence of complex cooperative agents

Mastering the strategy, tactical understanding, and team play involved in multiplayer video games represents a...

Identifying and eliminating bugs in learned predictive models

One in a series of posts explaining the theories underpinning our research. Bugs and software have gone hand in hand...

TF-Replicator: Distributed Machine Learning for Researchers

At DeepMind, the Research Platform Team builds infrastructure to empower and accelerate our AI research. Today, we are...

Machine learning can boost the value of wind energy

Carbon-free technologies like renewable energy help combat climate change, but many of them have not reached their...

AlphaStar: Mastering the Real-Time Strategy Game StarCraft II

Games have been used for decades as an important way to test and evaluate the performance of artificial intelligence...

AlphaZero: Shedding new light on chess, shogi, and Go

In late 2017 we introduced AlphaZero, a single system that taught itself from scratch how to master the games of...

AlphaFold: Using AI for scientific discovery

Today we’re excited to share DeepMind’s first significant milestone in demonstrating how artificial intelligence...

Predicting eye disease with Moorfields Eye Hospital

In August, we announced the first stage of our joint research partnership with Moorfields Eye Hospital, which showed...

Open sourcing TRFL: a library of reinforcement learning building blocks

Today we are open sourcing a new library of useful building blocks for writing reinforcement learning (RL) agents in...

Preserving Outputs Precisely while Adaptively Rescaling Targets

Multi-task learning - allowing a single agent to learn how to solve many different tasks - is a longstanding objective...

Using AI to plan head and neck cancer treatments

Early results from our partnership with the Radiotherapy Department at University College London Hospitals NHS...

Safety-first AI for autonomous data centre cooling and industrial control

Many of society’s most pressing problems have grown increasingly complex, so the search for solutions can feel...

A major milestone for the treatment of eye disease

We are delighted to announce the results of the first phase of our joint research partnership with Moorfields Eye...