Data Science, AI & Robotics
Berkeley researchers lead the way in using AI and data science to accelerate discovery
Overview
Data is changing the way we live our lives, from how we make decisions about our health and the environment to how we provide essential services. As part of this rapid transformation, Berkeley researchers are re-envisioning data science methods, AI and computing capabilities as well as community engagement that shape society’s relationship to technology. Berkeley researchers are finding today’s data science solutions for our most urgent problems, laying a foundation for a dynamic, equitable and accessible field for years to come.
Groundbreaking research at the Division of Computing, Data Science, and Society, the College of Engineering, the School of Information and across the campus tackles society’s greatest challenges. Research centers and institutes bring together faculty from a variety of disciplines to work on the most complex problems, including the Simons Institute for the Theory of Computing, the Berkeley Artificial Intelligence Research (BAIR) Lab, Sky Computing and EPIC Data Lab.
Recent News
International News
February 20, 2025
Pioneering a New Era for Cancer Prediction Using AI
Yala's team is currently leading a randomized clinical trial to evaluate how its breast cancer prediction model Mirai can improve patient outcomes.
January 27, 2025
Professor Launches Company Centered Around “Agentic AI”
Assistant professor Niloufar Salehi, along with her team, has launched Across AI, a startup pioneering agentic AI for complex enterprise workflows.
January 8, 2025
Jelani Nelson Considers Human Thought With Computer Science Tools
Berkeley Computer Science Division chair has launched accessible coding programs and advocated for high quality STEM education in California.
Institutes and Programs
Bakar Institute of Digital Materials for the Planet
The Bakar Institute of Digital Materials for the Planet is leveraging machine learning to accelerate breakthroughs for climate change.
Bakar Institute of Digital Materials for the Planet
Berkeley Artificial Intelligence Research Lab
The Berkeley Artificial Intelligence Research (BAIR) Lab brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, and robotics.
→ Berkeley Artificial Intelligence Research
Berkeley Center for New Media
Berkeley Center for New Media is an interdisciplinary research center that studies and shapes media transition and emergence from diverse perspectives to cultivate technological equity and fairness in classrooms, communities, and on the internet.
→ Berkeley Center for New Media
Berkeley DeepDrive
Berkeley DeepDrive seeks to merge deep learning with automotive perception and bring computer vision technology to the forefront.
→ Berkeley DeepDrive
Berkeley Institute for Data Science
The Berkeley Institute for Data Science (BIDS) promotes scientific breakthroughs by advancing interdisciplinary, data-driven discovery.
→ Berkeley Institute for Data Science
Center for Computational Biology
The Center for Computational Biology supports interdisciplinary research on the broad array of subjects that cover the interface between computation and biology, and fosters graduate and undergraduate education in the field.
→ Center for Computational Biology
CITRIS and the Banatao Institute
CITRIS is advancing robotics research and developing socially responsible technology focusing on Deep Learning, Cloud Robotics, Human-Centric Automation, Precision Agriculture, and Bio-Inspired Robotics.
→ CITRIS
Center for Long-Term Cybersecurity
The Center for Long-Term Cybersecurity supports research, curriculum development, seminars, conferences, and outreach on the future of cybersecurity.
→ Center for Long-Term Cybersecurity
Center for Technology, Society & Policy
The Center for Technology, Society & Policy is a multidisciplinary research and design/build center focusing on the emergent social and policy issues arising from the development and adoption of technology.
Center for Technology, Society & Policy
Computational Precision Health
This UCSF UC Berkeley Joint Program in Computational Precision Health (CPH) will apply computation to real-world settings to improve the quality, efficiency, and equity of medicine and public health.
→ CPH
D-Lab
D-Lab helps Berkeley faculty, staff, and graduate students move forward with world-class research in data intensive social science.
→ D-Lab
Schmidt Center
The Eric and Wendy Schmidt Center for Data Science and Environment is committed to building solutions to problems compromising the health of our environment.
Schmidt Center
EECS
EECS, Electrical Engineering and Computer Sciences, is a top-ranked department with stellar researchers at the frontiers of information science and technology.
→ EECS
EPIC Data Lab
The EPIC Data lab develops low-code and no-code interfaces for data work, powered by next-generation predictive programming techniques.
→ EPIC Data Lab
Responsible, Decentralized Intelligence
Berkeley Center for Responsible, Decentralized Intelligence advances the science and technology of web3, decentralization, and decentralized intelligence, to make it universally accessible and empower a responsible digital economy.
→ Responsible, Decentralized Intelligence
School of Information
School of Information is a research and education community offering graduate degrees in Information and Data Science and Information Management and Systems.
→ The School of Information
SDAV Institute
The Scalable Data Management, Analysis, and Visualization (SDAV) effort supports breakthrough science by providing advanced technical solutions.
→ SDAV Institute
Simons Institute
The Simons Institute for the Theory of Computing brings together the world's leading researchers to explore the nature and limits of computation.
→ Simons Institute
Sky Computing
Sky Computing will catalyze innovation and competition, unleashing less costly and more secure computing power for everything from self-driving car technology to human health.
→ Sky Computing Lab
Statistics
In addition to developing fundamental theory and methodology, many faculty in the Department of Statistics have strong interdisciplinary links.
→ Statistics
Swarm Lab
Swarm Lab is designing and developing new methodologies, software, and hardware, and educating the next generation of engineers.
→ SWARM Lab