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Defining the technology of today and tomorrow.

Philosophy

We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.
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Philosophy

People

Our researchers drive advancements in computer science through both fundamental and applied research.
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People
Research areas

Explore all research areas

Explore all research areas

Foundational ML & Algorithms

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Computing Systems & Quantum AI

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Science, AI & Society

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization
Projects

We regularly open-source projects with the broader research community and apply our developments to Google products.
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Projects

Publications

Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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Publications

Resources

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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Resources
Shaping the future, together.
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Student programs

Supporting the next generation of researchers through a wide range of programming.
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Student programs

Faculty programs

Participating in the academic research community through meaningful engagement with university faculty.
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Faculty programs

Conferences & events

Connecting with the broader research community through events is essential for creating progress in every aspect of our work.
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Conferences & events

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Careers
Blog

Daniel C. Suo

Daniel C. Suo

Research Areas

Authored Publications

Google

Adaptive Gradient Methods at the Edge of Stability

Behrooz Ghorbani

Daniel Suo

David Cardoze

George Dahl

Jeremy Cohen

Justin Gilmer

Naman Agarwal

Shankar Krishnan

Sourabh Medapati

Zack Nado

NeuRIPS 2022 (2022) (to appear)

Machine learning for medical ventilator control

Cyril Zhang

Daniel C. Suo

Daniel Cohen

Edgar Minasyan

Elad Hazan

Julienne LaChance

Karan Singh

Manuel Schottdorf

Naman Agarwal

Paula Nicoleta Gradu

Tom Zajdel

Udaya Ghai

Xinyi Chen

ML4H (2021) (to appear)

Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking

Alex Jiawen Yu

Anirudha Majumdar

Cyril Zhang

Daniel C. Suo

Elad Hazan

John Olof Hallman

Karan Singh

Naman Agarwal

Paula Nicoleta Gradu

Udaya Ghai

Differentiable computer vision, graphics, and physics in machine learning workshop at Neurips 2020 (2020) (to appear)

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