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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

Data Mining & Modeling

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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

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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

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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

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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Blog

Saurabh Saxena

Saurabh Saxena

Research Areas

Machine Intelligence

Authored Publications

Google

A Generalist Framework for Panoptic Segmentation of Images and Videos

Ting Chen

Lala Li

Saurabh Saxena

Geoffrey Hinton

David Fleet

International Conference on Computer Vision (ICCV) (2023)

Pix2seq: A Language Modeling Framework for Object Detection

Ting Chen

Saurabh Saxena

Lala Li

David James Fleet

Geoffrey Everest Hinton

International Conference on Learning Representations (2022)

A Unified Sequence Interface for Vision Tasks

Ting Chen

Saurabh Saxena

Lala Li

Tsung-Yi Lin

David Fleet

Geoffrey Hinton

Advances in Neural Information Processing Systems (NeurIPS) (2022)

Non-Autoregressive Machine Translation with Latent Alignments

Chitwan Saharia

Mohammad Norouzi

Saurabh Saxena

William Chan

EMNLP (2020)

Large-Scale Evolution of Image Classifiers

Esteban Real

Sherry Moore

Andrew Selle

Saurabh Saxena

Yutaka Leon Suematsu

Quoc Le

Alex Kurakin

ICML (2017)

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