The goal of Google Research is to work on long-term, ambitious problems across a wide range of important topics — from predicting the spread of COVID-19, to designing algorithms, to learning to translate more and more languages automatically, to mitigating bias in ML models. In the spirit of our annual reviews for 2019, 2018, and more narrowly focused reviews of some work in 2017 and 2016, this post covers key Google Research highlights from this unusual year. For a more comprehensive look, please see our >800 research publications in 2020. This is a long post, but is grouped into many different sections, which you can jump to directly using the table below. Hopefully, there’s something interesting in here for everyone!