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Events

Upcoming Events

  • photo of marge livingstone

    Quest | CBMM Seminar Series - Margaret Livingstone

    Date: November 22, 2022 | 4pm EST
    Location: Virtual
    Margaret Livingstone is the Takeda Professor of Neurobiology in the Blavatnik Institute of Neurobiology at Harvard Medical School. Livingstone has long been interested in how tuning properties of individual neurons can be clustered at a gross level in the brain. The lab began by looking at the parallel processing of different kinds of visual information, going back and forth between human psychophysics, anatomical interconnectivity of modules in the primate brain, and single unit receptive-field properties.

Past Events

  • MIT dome with autumnal trees

    Advances in the quest to understand intelligence

    Date: Friday, November 4 | 8:30am – 5:00pm
    Location: Singleton Auditorium, Building 46
    On November 4, researchers from MIT's Quest for Intelligence and its science driver — the Center for Brains, Minds, and Machines — will share the latest progress on understanding natural intelligence and how we aim to use that scientific progress to drive the future of AI and other impact areas. Please mark your calendars to come to MIT for a day-long series of presentations and conversations about our vision, our most recent progress, and the future of research on the Science and Engineering of Intelligence.
  • photo of George Konidaris

    Quest | CBMM Seminar Series - George Konidaris

    Date: October 18, 2022 | 4pm EST
    Location: Singleton Auditorium, Building 46
    George Konidaris is an Associate Professor of Computer Science and director of the Intelligent Robot Lab at Brown, which forms part of bigAI (Brown Integrative, General AI). He is also the Chief Roboticist of Realtime Robotics, a startup based on his research on robot motion planning. Konidaris focuses on understanding how to design agents that learn abstraction hierarchies that enable fast, goal-oriented planning. He develops and applies techniques from machine learning, reinforcement learning, optimal control and planning to construct well-grounded hierarchies that result in fast planning for common cases, and are robust to uncertainty at every level of control.
  • The Effect of Epigenetic Blocking on Multi-Objective Genetic Algorithms

    Date: July 14, 2022 | 4pm - 5pm EST
    Location: Building 32-G449, Patil/Kiva
    Sizhe Yuen is a final year PhD Student at the University of Southampton. His work focuses on the development of Evolutionary Algorithms using modern biological concepts from the Extended Evolutionary Synthesis. This talk will focus on the concept of epigenetic inheritance. Using a contemporary biological framework based on the Extended Evolutionary Synthesis, epigenetic inheritance is shown as a missing gap despite being a key building block in modern interpretations of how evolution occurs.