Quest | CBMM Seminar Series - Chiyuan ZhangDate: March 21, 2023 | 4:00pmLocation: Singleton Auditorium, Building 46Quantifying and Understanding Memorization in Deep Neural Networks Abstract: Deep learning algorithms are well-known to have a propensity for fitting the training data very well and memorize idiosyncratic properties in the training examples. From a scientific perspective, understanding memorization in deep neural networks shed light on how those models generalize. From a practical perspective, understanding memorization is crucial to address privacy and security issues related to deploying models in real world applications.
AI@MIT Panel DiscussionDate: March 7, 2023 | 4:00PM ESTLocation: Singleton Auditorium, Building 46Join the MIT Quest for Intelligence and the Artificial Intelligence @ MIT Student Group for a Panel Discussion! This event will focus on MIT Quest for Intelligence Research Missions and Engineering Projects. Speakers include: Ila Fiete, Associate Investigator, McGovern Institute, Katherine Fairchild, Engineering Team Lead, MIT Quest for Intelligence, and Martin Schrimpf, Research Scientist, MIT Quest for Intelligence.
Quest | CBMM Seminar Series - Leyla IsikDate: February 7, 2023 | 4pm ESTLocation: Singleton Auditorium, Building 46Leyla Isik is the Clare Boothe Luce Assistant Professor in the Department of Cognitive Science at Johns Hopkins University. Her research aims to answer the question of how humans extract complex information using a combination of human neuroimaging, intracranial recordings, machine learning, and behavioral techniques. Before joining Johns Hopkins, Isik was a postdoctoral researcher at MIT and Harvard in the Center for Brains, Minds, and Machines working with Nancy Kanwisher and Gabriel Kreiman. Isik completed her PhD at MIT where she was advised by Tomaso Poggio.
Advances in the quest to understand intelligenceDate: Friday, November 4, 2022Location: Singleton Auditorium, Building 46Recordings are now posted from the talks in which researchers from MIT's Quest for Intelligence and its science driver — the Center for Brains, Minds, and Machines — shared 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. We were happy to welcome supporters, industry collaborators, and members of the MIT community to 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.