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
Improving Hit-finding: Multilabel Neural Architecture with DEL
AI for Science NeurIPS 2021 workshop (2021)
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift
DistShift NeurIPS 2021 workshop (2021) (to appear)
Some of our teams
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Our researchers work across the world
Together, our research teams tackle tough problems.