Our projects

WeatherBench 2 is a benchmark for evaluating the next generation of data-driven, global weather forecasting models.

Leveraging computer vision to build a cost-effective and scalable method for helping to mitigate aviation’s climate impact.

The Flood Forecasting Initiative uses AI to make flood forecasting information universally accessible.

Med-PaLM is a Large Language Model fine-tuned and designed to provide high quality answers to medical questions.

USM, a family of state-of-the-art speech models with 2B parameters trained on 12M hours (28 billion sentences) of speech, performs automatic speech recognition for 300+ languages.

An Android beta app that uses machine learning to help people with non-standard speech make their voices heard.

A toolkit of activities, frameworks, and guidance for transparency in research dataset documentation. Customizable, participatory methods to create Data Cards templates.

SCOUTS is a Research initiative with the mission to provide people and ML systems with the scalable, trustworthy societal context knowledge required to realize responsible and robust AI.

The Wordcraft Writers Workshop explores the limits of co-writing with LaMDA and fosters an honest and earnest conversation about the rapidly changing relationship between technology and creativity.

Realistic video generation of arbitrary length from open-domain textual descriptions.

A robotics algorithm that combines the understanding of language models with the real-world capabilities of a helper robot.

A scalable approach to joint modeling of language and images that reaches new levels of performance in multiple vision-language tasks and multiple languages.

An autoregressive text-to-image generation model that achieves high-fidelity photorealistic image generation and supports content-rich synthesis involving complex compositions and world knowledge.

A text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding.

Global flood current and forecast information that is free of charge to help people directly at risk, and to help governments and aid organizations access critical information.

A collection of building footprints to support social good applications. These are useful for a range of applications, from population estimation, urban planning and humanitarian response, to environmental and climate science.

A natural language processing-powered search tool to help researchers query PubMed with complex scientific questions.

The TRC program enables researchers to apply for access to a cluster of more than 1,000 Cloud TPUs at no charge to help them accelerate the next wave of research breakthroughs.

Project Euphonia is focused on helping people with non-standard speech be better understood. The approach is centered on analyzing speech recordings to better train speech recognition models.

Mix and match music and machine learning to unlock new sounds.