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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

Responsible AI

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Responsible AI
Projects

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

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.
Learn more about our Conferences & events

Conferences & events

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Careers
Blog

Eyvind Niklasson

Eyvind Niklasson

Self organise.

Research Areas

Authored Publications

Google

Transformers learn in-context by gradient descent

Johannes von Oswald

Eyvind Niklasson

Ettore Randazzo

João Sacramento

Alexander Mordvintsev

Andrey Zhmoginov

Max Vladymyrov

International Conference on Machine Learning (2023), pp. 35151-35174

Self-classifying MNIST digit CA

Ettore Randazzo

Alexander Mordvintsev {{ +moralex }

Eyvind Niklasson

Michael Levin

Sam Greydanus

Distill (2020)

Growing Neural Cellular Automata

Alexander Mordvintsev

Ettore Randazzo

Eyvind Niklasson

Michael Levin

Distill (2020)

MPLP: Learning a Message Passing Learning Protocol

Ettore Randazzo

Eyvind Niklasson

Alexander Mordvintsev

arXiv (2020)

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