We developed a new 54-qubit processor, named “Sycamore”, that is comprised of fast, high-fidelity quantum logic gates, in order to perform the benchmark testing.
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.
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.