Google AI Technology

Retrieval-augmented visual-language pre-training Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, […]

Large sequence models for software development activities Posted by Petros Maniatis and Daniel Tarlow, Research Scientists, Google Software […]

Foundation models for reasoning on charts Posted by Julian Eisenschlos, Research Software Engineer, Google Research Visual language is the form […]

Barkour: Benchmarking animal-level agility with quadruped robots Posted by Ken Caluwaerts and Atil Iscen, Research Scientists, Google Creating […]

Differentially private clustering for large-scale datasets Posted by Vincent Cohen-Addad and Alessandro Epasto, Research Scientists, Google […]

Google Research at I/O 2023 Posted by James Manyika, SVP Google Research and Technology & Society, and Jeff Dean, Chief Scientist, Google DeepMind […]

3 new ways generative AI can help you search Today, we’re starting to open up access to SGE (Search Generative Experience), one of our first experiments in Search Labs.

Resolving code review comments with ML Posted by Alexander Frömmgen, Staff Software Engineer, and Lera Kharatyan, Senior Software Engineer, Core […]

Helping more people stay safe with flood forecasting AI-powered Flood Hub is expanding to nearly 80 countries worldwide.

Making ML models differentially private: Best practices and open challenges Posted by Natalia Ponomareva and Alex Kurakin, Staff Software Engineers, […]

A policy agenda for responsible AI progress: Opportunity, Responsibility, Security For society to reap the benefits of AI, opportunity, responsibility, and national security strategies must be baked into that shared AI agenda.

Sparse video tubes for joint video and image vision transformers Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, […]

Responsible AI at Google Research: PAIR Posted by Lucas Dixon and Michael Terry, co-leads, PAIR, Google Research PAIR (People + AI Research) […]

A quantum computing partnership with the University of Chicago and the University of Tokyo The University of Tokyo, the University of Chicago and Google establish a strategic partnership on quantum information science and engineering.

Using reinforcement learning for dynamic planning in open-ended conversations Posted by Deborah Cohen, Staff Research Scientist, and Craig […]

Larger language models do in-context learning differently Posted by Jerry Wei, Student Researcher, and Denny Zhou, Principal Scientist, Google […]

Consensus and subjectivity of skin tone annotation for ML fairness Posted by Candice Schumann, Software Engineer, and Gbolahan O. Olanubi, User […]

F-VLM: Open-vocabulary object detection upon frozen vision and language models Posted by Weicheng Kuo and Anelia Angelova, Research Scientists, […]

Enabling conversational interaction on mobile with LLMs Posted by Bryan Wang, Student Researcher, and Yang Li, Research Scientist, Google […]

100 things we announced at I/O 2023 Google I/O 2023 was filled with news and launches — here are 100 things announced at I/O.