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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.
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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.
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)

MPLP: Learning a Message Passing Learning Protocol

Ettore Randazzo

Eyvind Niklasson

Alexander Mordvintsev

arXiv (2020)

Growing Neural Cellular Automata

Alexander Mordvintsev

Ettore Randazzo

Eyvind Niklasson

Michael Levin

Distill (2020)

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