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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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Foundational ML & Algorithms

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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

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Software Engineering

Software Systems

Distributed Systems & Parallel Computing

Hardware & Architecture

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Networking

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Security, Privacy, & Abuse Prevention

Software Engineering

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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

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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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Blog

Hendrik Fichtenberger

Research Areas

Algorithms and Theory

Authored Publications

Google

Constant Matters: Fine-grained Complexity of Differentially Private Continual Observation

Hendrik Fichtenberger

Monika Henzinger

Jalaj Upadhyay

Proceedings of the 40th International Conference on Machine Learning (ICML) (2023)

Preview

Optimal Fully Dynamic k-Center Clustering for Adaptive and Oblivious Adversaries

MohammadHossein Bateni

Hossein Esfandiari

Hendrik Fichtenberger

Monika Henzinger

Rajesh Jayaram

Vahab Mirrokni

Andreas Wiese

Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)

Preview

HUGE: Huge Unsupervised Graph Embeddings with TPUs

Brandon Mayer

Anton Tsitsulin

Hendrik Fichtenberger

Jonathan Halcrow

Bryan Perozzi

SIGKDD Conference on Knowledge Discovery and Data Mining, ACM (2023) (to appear)

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