Why we focus on AI (and to what end)

Favorite Today we published a paper outlining why we pursue AI. Read on for a preview, or visit ai.google to see the paper in full. View Original Source (blog.google/technology/ai/) Here.

Google's 2022 year in review

Favorite A recap of Google’s top announcements and initiatives in 2022. View Original Source (blog.google/technology/ai/) Here.

EHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Records

Favorite Posted by Jinsung Yoon and Sercan O. Arik, Research Scientists, Google Research, Cloud AI Team Analysis of Electronic Health Records (EHR) has a tremendous potential for enhancing patient care, quantitatively measuring performance of clinical practices, and facilitating clinical research. Statistical estimation and machine learning (ML) models trained on EHR

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Shared by Google AI Technology December 21, 2022

Differential Privacy Accounting by Connecting the Dots

Favorite Posted by Pritish Kamath and Pasin Manurangsi, Research Scientists, Google Research Differential privacy (DP) is an approach that enables data analytics and machine learning (ML) with a mathematical guarantee on the privacy of user data. DP quantifies the “privacy cost” of an algorithm, i.e., the level of guarantee that

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Shared by Google AI Technology December 20, 2022

RT-1: Robotics Transformer for Real-World Control at Scale

Favorite Posted Keerthana Gopalakrishnan and Kanishka Rao, Google Research, Robotics at Google Major recent advances in multiple subfields of machine learning (ML) research, such as computer vision and natural language processing, have been enabled by a shared common approach that leverages large, diverse datasets and expressive models that can absorb

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Shared by Google AI Technology December 13, 2022