Google AI Technology

Real-time tracking of wildfire boundaries using satellite imagery Posted by Zvika Ben-Haim and Omer Nevo, Software Engineers, Google Research […]

Google Research, 2022 & beyond: ML & computer systems Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, and Adam Paszke, Staff Research […]

Open Source Vizier: Towards reliable and flexible hyperparameter and blackbox optimization Posted by Xingyou (Richard) Song, Research Scientist, and […]

The Flan Collection: Advancing open source methods for instruction tuning Posted by Shayne Longpre, Student Researcher, and Adam Roberts, Senior […]

How AI is improving agriculture sustainability in IndiaA look at how AI can help agriculture and sustainable farming in India.

Learning with queried hints Posted by Sreenivas Gollapudi, Senior Staff Research Scientist, and Kostas Kollias, Staff Research Scientist, Google […]

Deciphering Clinical Abbreviations with Privacy Protecting ML Posted by Posted by Alvin Rajkomar, Research Scientist, and Eric Loreaux, Software […]

Google Research, 2022 & Beyond: Responsible AI Posted by Marian Croak, VP, Google Research, Responsible AI and Human-Centered Technology The last […]

9 ways we use AI in our products Here are nine ways we use AI today to make our products even more helpful.

Google Research, 2022 & Beyond: Language, Vision and Generative Models Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the […]

7 ways Google is using AI to help solve society's challenges Google is using AI to help people facing disease and natural disasters, and to provide new opportunities for underserved communities.

Why we focus on AI (and to what end) Today we published a paper outlining why we pursue AI. Read on for a preview, or visit ai.google to see the paper in full.

Responsible AI: Looking back at 2022, and to the futureLooking back at Google’s 2022 progress in principled AI innovation and ahead to 2023 and beyond.

A recap of Google’s top announcements and initiatives in 2022.

Posted by Jinsung Yoon and Sercan O. Arik, Research Scientists, Google Research, Cloud AI Team Analysis of Electronic Health Records (EHR) has a tremendous potential for enhancing patient care, quantitatively […]

Posted by Pritish Kamath and Pasin Manurangsi, Research Scientists, Google Research Differential privacy (DP) is an approach that enables data analytics and machine learning (ML) with a mathematical guarantee on […]

Posted by Tal Schuster, Research Scientist, Google Research Language models (LMs) are the driving force behind many recent breakthroughs in natural language processing. Models like T5, LaMDA, GPT-3, and PaLM […]

Posted by Quan Wang, Senior Staff Software Engineer, and Fan Zhang, Staff Software Engineer, Google In 2019 we launched Recorder, an audio recording app for Pixel phones that helps users create, manage, and edit […]

Posted Keerthana Gopalakrishnan and Kanishka Rao, Google Research, Robotics at Google Major recent advances in multiple subfields of machine learning (ML) research, such as computer vision and natural language […]

A look at how Transformers are helping robots become more useful.