Artificial Intelligence (AI)

Overview

Work in Artificial Intelligence in the EECS department at Berkeley involves foundational research in core areas of deep learning, knowledge representation, reasoning, learning, planning, decision-making, vision, robotics, speech, and natural language processing. For more information please see the Berkeley Artificial Intelligence Research Lab (BAIR). There are also significant efforts aimed at applying algorithmic advances to applied problems in a range of areas, including bioinformatics, networking and systems, search and information retrieval. There are active collaborations with several groups on campus, including the campus-wide vision sciences group, the information retrieval group at the I-School and the campus-wide computational biology program. There are also connections to a range of research activities in the cognitive sciences, including aspects of psychology, linguistics, and philosophy. Research in AI involves techniques and tools from statistics, neuroscience, control, optimization, and operations research.

Topics

  • Learning and Probabilistic Inference:

    Graphical models. Kernel methods. Nonparametric Bayesian methods. Reinforcement learning. Problem solving, decisions, and games.

  • Knowledge Representation and Reasoning:

    First order probabilistic logics. Symbolic algebra.

  • Search and Information Retrieval:

    Collaborative filtering. Information extraction. Image and video search. Intelligent information systems.

  • Speech and Language:

    Parsing. Machine translation. Speech Recognition. Context Modeling. Dialog Systems.

  • Vision:

    Object Recognition. Scene Understanding. Human Activity Recognition. Active Vision. Grouping and Figure-Ground. Visual Data Mining.

  • Robotics:

    Deep Learning, Perception, Manipulation, Locomotion, Human Robot Interaction, Motion Planning. Applications to Logistics, Healthcare, Home and Service Robots, Agriculture.

Research Centers

Faculty

Primary

Secondary

Faculty Awards

  • ACM Prize in Computing: Pieter Abbeel, 2021. Alexei (Alyosha) Efros, 2016.
  • MacArthur Fellow: Dawn Song, 2010.
  • National Academy of Sciences (NAS) Member: Jitendra Malik, 2015. Michael Jordan, 2010.
  • National Academy of Engineering (NAE) Member: Jitendra Malik, 2011. Michael Jordan, 2010. S. Shankar Sastry, 2001. Alberto L. Sangiovanni-Vincentelli, 1998. Ruzena Bajcsy, 1997.
  • American Academy of Arts and Sciences Member: Jitendra Malik, 2013. Michael Jordan, 2010. Ruzena Bajcsy, 2007. S. Shankar Sastry, 2003.
  • Berkeley Citation: Ruzena Bajcsy, 2023. S. Shankar Sastry, 2018. Jerome A. Feldman, 2009.
  • UC Berkeley Distinguished Teaching Award: John DeNero, 2018. Daniel Klein, 2010. Alberto L. Sangiovanni-Vincentelli, 1981.
  • Sloan Research Fellow: Nika Haghtalab, 2024. Preeya Khanna, 2024. Angjoo Kanazawa, 2023. Sergey Levine, 2019. Anca Dragan, 2018. Ren Ng, 2017. Michael Lustig, 2013. Benjamin Recht, 2011. Pieter Abbeel, 2011. Sanjit A. Seshia, 2008. Yun S. Song, 2008. Alexei (Alyosha) Efros, 2008. Dawn Song, 2007. Daniel Klein, 2007. Martin Wainwright, 2005. James O'Brien, 2003.

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