Google Research: Advancing Technology Across AI, ML, Quantum, and Science

Google Research: Advancing Science and Technology

This document outlines the diverse research areas and initiatives undertaken by Google Research, focusing on defining the technology of today and tomorrow. It details the organization's philosophy, its people, key research areas, ongoing projects, publications, and programs and events.

Philosophy

Google Research fosters an environment conducive to various research types, spanning different time scales and risk levels. This approach encourages fundamental and applied research across numerous disciplines.

People

Google's researchers are at the forefront of computer science advancements, driving progress through both foundational and applied research. Their work contributes significantly to the field.

Research Areas

Google Research is organized into several key 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

• Computing Systems & Quantum AI:

  • 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
  • Responsible AI

Our Work

Google Research's contributions are manifested through:

• Projects: Open-sourcing projects and applying developments to Google products.
• Publications: Sharing research findings to advance computer science collaboratively.
• Resources: Providing products, tools, and datasets to foster a collaborative ecosystem.

Programs & Events

Google Research actively engages with the academic and research community through:

• Student Programs: Supporting the next generation of researchers.
• Faculty Programs: Meaningful engagement with university faculty.
• Conferences & Events: Connecting with the broader research community.

Recent Publications and Highlights

The blog features recent research highlights, including:

• REGEN: Empowering personalized recommendations with natural language (June 27, 2025) - Focuses on Data Mining & Modeling, General Science, and Machine Intelligence.
• From research to climate resilience (June 24, 2025) - Explores Climate & Sustainability, General Science, and Generative AI.
• A new light on neural connections (May 7, 2025) - Covers General Science and Health & Bioscience.
• Improving brain models with ZAPBench (April 24, 2025) - Highlights General Science and Health & Bioscience.
• Introducing Mobility AI: Advancing urban transportation (April 23, 2025) - Features Algorithms & Theory, General Science, and Machine Intelligence.
• Evaluating progress of LLMs on scientific problem-solving (April 3, 2025) - Focuses on General Science, Generative AI, and Natural Language Processing.
• Deciphering language processing in the human brain through LLM representations (March 21, 2025) - Covers General Science, Health & Bioscience, Natural Language Processing, and Speech Processing.
• Urban mobility solutions: Calibrating digital twins at scale (February 10, 2025) - Highlights Algorithms & Theory, Climate & Sustainability, and General Science.
• Google Research 2024: Breakthroughs for impact at every scale (December 19, 2024) - A year-in-review encompassing various fields including AI, Machine Learning, and Quantum Computing.
• Mapping the ionosphere with the power of Android (November 13, 2024) - Focuses on Data Mining & Modeling, General Science, and Mobile Systems.
• An improved flood forecasting AI model, trained and evaluated globally (November 11, 2024) - Covers Climate & Sustainability, General Science, and Global applications.
• Fast, accurate climate modeling with NeuralGCM (July 22, 2024) - Features Climate & Sustainability, General Science, Machine Intelligence, and Open Source Models & Datasets.

The blog also provides navigation by years and labels, allowing users to filter content by specific research areas and publication dates. The site includes links to careers, the blog, and social media channels for Google Research.