Our teams in Cambridge work closely with academics at local universities as well as collaborators at local institutes with a goal to impact both Google’s products and general scientific progress. We accomplish this by releasing open source tools, publishing our work and sharing our findings with the academic community.
We work on fairness, interpretability and visualization of machine learning algorithms and data; new methods in machine learning and systems for machine learning research; applications of machine learning in the basic sciences; machine perception; and operations research.