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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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Foundational ML & Algorithms

Algorithms & Theory

Data Management

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Information Retrieval & the Web

Machine Intelligence

Machine Perception

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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

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General Science

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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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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

Ben Mathes

Ben Mathes

Product Manager in Google AI Research. I design and build new products in messy environments. Healthcare, ML/Analytics/Data, macro finance, startups/VC.

Research Areas

Authored Publications

Google

Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)

Abhijit Karmarkar

Ahmet Altay

Aleksandr Zaks

Anusha Ramesh

Ben Mathes

Gautam Vasudevan

Gus Katsiapis

Irene Giannoumis

Jarek Wilkiewicz

Jiri Simsa

Justin Hong

Mitch Trott

Neoklis Polyzotis

Noé Lutz

Pavel A Dournov

Robert Crowe

Sarah Sirajuddin

Tris Brian Warkentin

Zhitao Li

(2020)

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