A Scalable Approach for Partially Local Federated Learning
A Fast WordPiece Tokenization System
Enhanced Sleep Sensing in Nest Hub
Practical Differentially Private Clustering
Efficient Partitioning of Road Networks
Massively Parallel Graph Computation: From Theory to Practice
Addressing Range Anxiety with Smart Electric Vehicle Routing
Recursive Sketches for Modular Deep Learning
Harnessing Organizational Knowledge for Machine Learning
Introducing AdaNet: Fast and Flexible AutoML with Learning Guarantees
See Better and Further with Super Res Zoom on the Pixel 3
Realtime tSNE Visualizations with TensorFlow.js
The Question of Quantum Supremacy
Reformulating Chemistry for More Efficient Quantum Computation
Balanced Partitioning and Hierarchical Clustering at Scale
A Summary of the Google Zürich Algorithms & Optimization Workshop
Introducing a New Foveation Pipeline for Virtual/Mixed Reality
Seamless Google Street View Panoramas
Google at KDD’17: Graph Mining and Beyond
Announcing the NYC Algorithms and Optimization Site
