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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

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

Shreya Agrawal

Shreya Agrawal

Research Areas

Authored Publications

Google

Global extreme heat forecasting using neural weather models

Ignacio Lopez-Gomez

Amy McGovern

Shreya Agrawal

Jason Hickey

Artificial Intelligence for the Earth Systems, 2 (2023), e220035

WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Stephan Rasp

Stephan Hoyer

Alex Merose

Ian Langmore

Peter Battaglia

Tyler Russell

Alvaro Sanchez

Vivian Yang

Rob Carver

Shreya Agrawal

Matthew Chantry

Zied Ben Bouallegue

Peter Dueben

Carla Bromberg

Jared Sisk

Luke Barrington

Aaron Bell

Fei Sha

arXiv (2023) (to appear)

Mukund Sundararajan

Shreya Agrawal

VisxAI (2021)

MetNet: A Neural Weather Model for Precipitation Forecasting

Casper Kaae Sønderby

Lasse Espeholt

Jonathan Heek

Mostafa Dehghani

Avital Oliver

Tim Salimans

Jason Hickey

Shreya Agrawal

Nal Kalchbrenner

Submission to journal (2020)

Machine Learning for Precipitation Nowcasting from Radar Images

Carla L. Bromberg

Cenk Gazen

Jason J. Hickey

John Burge

Luke Barrington

Shreya Agrawal

Machine Learning and the Physical Sciences Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS) (2019), pp. 4

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