We think technology can be even more useful when computing is anywhere you need it, always available to help you. Your devices fade into the background, working together with AI and software to assist you throughout your day. We call this ambient computing.
Google.org issued an open call to organizations around the world to submit their ideas for how they could use AI to help address societal challenges. Meet the 20 organizations we selected to support.
Learn how to build better products with on-device data and privacy by default in a new online comic from Google AI.
Tools, methods and best practices for designing AI products in a human-centered way.
An outline of key areas where government can work with civil society and AI practitioners to provide important guidance on responsible AI development and use.
Machine learning-based forecasts may one day help deploy emergency services and inform evacuation plans for areas at risk of an aftershock.
A tool that enables scientists, data journalists, data geeks, or anyone else to easily find datasets stored in thousands of repositories across the web.
We released a research framework for fast prototyping of reinforcement learning algorithms, which we hope will empower researchers to explore new ideas.
Recent research publications
We publish hundreds of research papers each year and present our work in a wide range of venues.
Nature, vol. 574 (2019), 505–510
Nature Communications, vol. 9 (2018), pp. 4812
The Astronomical Journal, vol. 155 (2018), pp. 94
We’re fostering a collaborative ecosystem with open-source tools, public datasets, and APIs that allow all of us to make the most of machine learning.