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The latest research from Google

Learning with queried hints

In many computing applications the system needs to make decisions to serve requests that arrive in an online fashion. Consider, for instance, the example of a navigation app that responds to driver requests. In such settings there is inherent uncertainty about important aspects of the problem. For example, the preferences of the driver with respect to features of the route are often unknown and the delays of road segments can be uncertain. The field of online machine learning studies such settings and provides various techniques for decision-making problems under uncertainty.

Deciphering clinical abbreviations with privacy protecting ML

Google Research, 2022 & beyond: Responsible AI

Google Research, 2022 & beyond: Language, vision and generative models

EHR-Safe: Generating high-fidelity and privacy-preserving synthetic electronic health records

Differential privacy accounting by connecting the dots

Accelerating text generation with Confident Adaptive Language Modeling (CALM)

Who said what? Recorder's on-device solution for labeling speakers

RT-1: Robotics Transformer for real-world control at scale

Formation of robust bound states of interacting photons

Private Ads prediction with DP-SGD