Author: Google AI

Reformer: The Efficient Transformer

Posted on January 16, 2020 by Google AI

Posted by Nikita Kitaev, Student Researcher, UC Berkeley and Łukasz Kaiser, Research Scientist, Google Research Understanding sequential data — such

Can You Trust Your Model’s Uncertainty?

Posted on January 15, 2020 by Google AI

Posted by Jasper Snoek, Research Scientist and Zachary Nado, Research Engineer, Google Research In an ideal world, machine learning (ML)

Google Research: Looking Back at 2019, and Forward to 2020 and Beyond

Posted on January 9, 2020 by Google AI

Posted by Jeff Dean, Senior Fellow and SVP of Google Research and Health, on behalf of the entire Google Research

ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations

Posted on December 20, 2019 by Google AI

Posted by Radu Soricut and Zhenzhong Lan, Research Scientists, Google Research Ever since the advent of BERT a year ago,

The On-Device Machine Learning Behind Recorder

Posted on December 18, 2019 by Google AI

Posted by Itay Inbar and Nir Shemy, Software Engineers, Google Research Over the past two decades, Google has made information

Improving Out-of-Distribution Detection in Machine Learning Models

Posted on December 17, 2019 by Google AI

Posted by Jie Ren, Research Scientist, Google Research and Balaji Lakshminarayanan, Research Scientist, DeepMind Successful deployment of machine learning systems

Improvements to Portrait Mode on the Google Pixel 4 and Pixel 4 XL

Posted on December 16, 2019 by Google AI

Posted by Neal Wadhwa, Software Engineer and Yinda Zhang, Research Scientist, Google Research Portrait Mode on Pixel phones is a

Fairness Indicators: Scalable Infrastructure for Fair ML Systems

Posted on December 11, 2019 by Google AI

Posted by Catherina Xu and Tulsee Doshi, Product Managers, Google Research While industry and academia continue to explore the benefits

Lessons Learned from Developing ML for Healthcare

Posted on December 10, 2019 by Google AI

Posted by Yun Liu, Research Scientist and Po-Hsuan Cameron Chen, Research Engineer, Google Health Machine learning (ML) methods are not