To help combat racism and advance racial equity, we've made donations to organisations that support Black communities in the AI/ML space.
Sports analytics is in the midst of a remarkably important era, offering interesting opportunities for AI researchers and sports leaders alike.
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.
Planning winning strategies in unknown environments is a step forward in the pursuit of general-purpose algorithms.
An introduction to our JAX ecosystem and why we find it useful for our AI research.
In a major scientific advance, AlphaFoldis recognised as a solution to the protein folding problem.
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.
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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