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- Year in Review
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April 19, 2024
Improving Gboard language models via private federated analytics -
December 15, 2023
Advancements in machine learning for machine learning -
November 22, 2023
Improving simulations of clouds and their effects on climate -
October 20, 2023
Answering billions of reporting queries each day with low latency -
September 7, 2023
A novel computational fluid dynamics framework for turbulent flow research -
February 2, 2023
Open Source Vizier: Towards reliable and flexible hyperparameter and blackbox optimization -
September 22, 2022
TensorStore for High-Performance, Scalable Array Storage -
May 3, 2022
Alpa: Automated Model-Parallel Deep Learning -
April 8, 2022
Large-Scale Matrix Factorization on TPUs -
February 15, 2022
Good News About the Carbon Footprint of Machine Learning Training -
February 8, 2022
Unlocking the Full Potential of Datacenter ML Accelerators with Platform-Aware Neural Architecture Search -
December 16, 2021
A Scalable Approach for Partially Local Federated Learning