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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

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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

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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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Resources

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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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

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

Jonathan Heek

Jonathan Heek

Research Areas

Machine Intelligence

Authored Publications

Google

Scaling Vision Transformers to 22 Billion Parameters

Mostafa Dehghani

Josip Djolonga

Basil Mustafa

Piotr Padlewski

Jonathan Heek

Justin Gilmer

Andreas Steiner

Mathilde Caron

Robert Geirhos

Ibrahim Alabdulmohsin

Rodolphe Jenatton

Lucas Beyer

Michael Tschannen

Anurag Arnab

Xiao Wang

Carlos Riquelme

Matthias Minderer

Joan Puigcerver

Utku Evci

Manoj Kumar

Sjoerd van Steenkiste

Gamaleldin Elsayed

Aravindh Mahendran

Fisher Yu

Avital Oliver

Fantine Huot

Jasmijn Bastings

Mark Collier

Alexey Gritsenko

Vighnesh Birodkar

Cristina Vasconcelos

Yi Tay

Thomas Mensink

Alexander Kolesnikov

Filip Pavetić

Dustin Tran

Thomas Kipf

Mario Lučić

Xiaohua Zhai

Daniel Keysers

Jeremiah Harmsen

Neil Houlsby

Arxiv (2023)

MetNet: A Neural Weather Model for Precipitation Forecasting

Casper Kaae Sønderby

Lasse Espeholt

Jonathan Heek

Mostafa Dehghani

Avital Oliver

Tim Salimans

Jason Hickey

Shreya Agrawal

Nal Kalchbrenner

Submission to journal (2020)

Bayesian Inference for Large Scale Image Classification

Jonathan Heek

Nal Kalchbrenner

arXiv preprint arXiv:1908.03491 (2019)

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