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An update on our racial justice efforts

To help combat racism and advance racial equity, we've made donations to organisations that support Black communities in the AI/ML space.

Advancing sports analytics through AI research

Sports analytics is in the midst of a remarkably important era, offering interesting opportunities for AI researchers and sports leaders alike.

Game theory as an engine for large-scale data analysis

Our research explored a new approach to an old problem: we reformulated principal component analysis (PCA), a type of eigenvalue problem, as a competitive multi-agent game we call EigenGame.

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

Planning winning strategies in unknown environments is a step forward in the pursuit of general-purpose algorithms.

Using JAX to accelerate our research

An introduction to our JAX ecosystem and why we find it useful for our AI research.

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

In a major scientific advance, AlphaFoldis recognised as a solution to the protein folding problem.

Breaking down global barriers to access

FermiNet: Quantum Physics and Chemistry from First Principles

Weve developed a new neural network architecture, the Fermionic Neural Network or FermiNet, which is well-suited to modeling the quantum state of large collections of electrons, the fundamental building blocks of chemical bonds.

Fast reinforcement learning through the composition of behaviours

Traffic prediction with advanced Graph Neural Networks

Working with our partners at Google Maps, we used advanced machine learning techniques including Graph Neural Networks, to improve the accuracy of real time ETAs by up to 50%.

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