Stanford Artificial Intelligence Laboratory
The Stanford Artificial Intelligence Lab (SAIL), founded in 1962 by Professor John McCarthy, continues to be a rich, intellectual and stimulating academic environment. Through multidisciplinary and multi-faculty collaborations, SAIL promotes new discoveries and explores new ways to enhance human-robot interactions through AI; all while developing the next generation of researchers. SAIL has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice for over fifty years.
For more information about our Lab and research groups, please visit our website.
Areas: Biomedicine and Health | Computational Cognitive & Neuro-science| Computational Education | Computer Vision | Empirical Machine Learning | Human-Centered and Creative AI | Natural Language Processing and Speech | Reinforcement Learning | Robotics | Statistical or Theoretical Machine Learning
Database research, general purpose network analysis and graph mining.
Stanford Theory Group
The development and analysis of algorithms for a variety of settings and applications. Major directions include Complexity Theory, Cryptography, Algorithmic Game Theory, Geometric Algorithms, algorithmic techniques for internet applications, various aspects of network and computer security, databases, design and analysis of programs and programming languages, and supporting studies in combinatorial, logical, and algebraic mathematics.
Stanford Computer Graphics / Human-Computer Interaction (HCI) group
Research in geometric computation, light fields and computational photography, human-computer interaction and design thinking as well as computational algorithms for a variety of applications.
Computational techniques are now a major innovation catalyst for all aspects of human endeavour. Our research aims to develop tomorrow’s information technology that supports innovative applications, from big data analytics to the Internet of Things. It covers all aspects of information technology, including energy efficient and robust hardware systems, software defined networks, secure distributed systems, data science, and integrated circuits and power electronics.
Areas: Architecture | Computer Security | Networking | Operating/Distributed Systems | Programming Systems and Verification