We aim to transform scientific research itself. Many scientific endeavors can benefit from large scale experimentation, data gathering, and machine learning (including deep learning). We aim to accelerate scientific research by applying Google’s computational power and techniques in areas such as drug discovery, biological pathway modeling, microscopy, medical diagnostics, material science, and agriculture. We collaborate closely with world-class research partners to help solve important problems with large scientific or humanitarian benefit.
Recent publications
Flow-Lenia: Towards open-ended evolution in cellular automata through mass conservation and parameter localization
ALIFE 2023: The 2023 Conference on Artificial Life, MIT Press (2023)
Ewald-Based Long-Range Message Passing for Molecular Graphs
International Conference on Machine Learning (ICML) (2023)
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Our researchers work across the world
Together, our research teams tackle tough problems.