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Research

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

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

Todd Phillips

Research Areas

Authored Publications

Google

Machine Learning: The High Interest Credit Card of Technical Debt

D. Sculley

Gary Holt

Daniel Golovin

Eugene Davydov

Todd Phillips

Dietmar Ebner

Vinay Chaudhary

Michael Young

SE4ML: Software Engineering for Machine Learning (NIPS 2014 Workshop)

Ad Click Prediction: a View from the Trenches

H. Brendan McMahan

Gary Holt

D. Sculley

Michael Young

Dietmar Ebner

Julian Grady

Lan Nie

Todd Phillips

Eugene Davydov

Daniel Golovin

Sharat Chikkerur

Dan Liu

Martin Wattenberg

Arnar Mar Hrafnkelsson

Tom Boulos

Jeremy Kubica

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) (2013)

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Defining the technology of today and tomorrow.

Philosophy

People

Research areas

Foundational ML & Algorithms

Computing Systems & Quantum AI

Science, AI & Society

Projects

Publications

Resources

Shaping the future, together.

Student programs

Faculty programs

Conferences & events

Todd Phillips

Research Areas

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