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
From Big Data to Big Analytics: Automated Analytic Platforms for Data Exploration
BigSurv 18 (Big Data Meet Survey Science) conference, Barcelona, Spain (2018)
Justice Rising - The Growing Ethical Importance of Big Data, Survey Data, Models and AI
BigSurv 18 (Big Data Meet Survey Science) conference, Barcelona, Spain (2018)
Towards Large-Scale Simulations of Open-Ended Evolution in Continuous Cellular Automata
GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference, ACM (2023) (to appear)
Global extreme heat forecasting using neural weather models
Artificial Intelligence for the Earth Systems, vol. 2 (2023), e220035
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Together, our research teams tackle tough problems.