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Past Events

  • Quest | CBMM Seminar Series: Joel Leibo, DeepMind

    Date: Tues., March 4th, 4PM
    Location: Singleton Auditorium
    Joel Leibo, senior staff research scientist at Google DeepMind and professor at King's College London, will speak in Singleton Auditorium as part of the Quest and CBMM seminar series on March 4th.
  • Quest | CBMM Seminar Series: Prof. Thomas Serre

    Date: Tues., February 11th, 4PM
    Location: Singleton Auditorium
    Dr. Thomas Serre, who is the Thomas J. Watson, Sr. Professor of Science at Brown University's Carney Center for Computational Brain Science, will give a seminar as part of the Quest for Intelligence and CBMM seminar series.
  • Postdoctoral Fellow Dan Mitropolsky.

    Research Meeting - Dan Mitropolsky

    Date: Tues., December 3rd, 4PM
    Location: MIBR Reading Room, 46-5165
    Dan Mitropolsky is a postdoctoral fellow in the Miller and Poggio labs at MIT. His focus combines computer science with a study of the brain to understand what makes language and learning possible.
  • Panel Discussion: Open Questions in Theory of Learning

    Date: Tues., November 12th, 4PM
    Location: Singleton Auditorium
    This panel will introduce some new simple foundational results in the theory of supervised learning. It will also discuss open problems in the theory of learning, including problems specific to neuroscience.
  • Research Meeting - Eran Malach

    Date: Tues., October 29th, 4PM
    Location: 45-792
    Eran Malach is a research fellow at the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University, studying learning theory and computational aspects of learning and optimization.
  • Quest | CBMM Seminar Series - Prof. Noah Goodman

    Date: Tues., October 1st, 4PM
    Location: Singleton Auditorium
    "Learning to Reason": Noah Goodman is a Professor of Psychology and Computer Science at Stanford University. His research surrounds computational models of cognition, cognitive development and social cognition, and probabilistic programming languages.