James DiCarlo, Tomaso Poggio, Joshua Tenenbaum, Nancy Kanwisher, Leslie Kaelbling, Ila Fiete, Evelina Fedorenko, Jacob Andreas, Bilge Yildiz, Thomas Malone, Laura E. Schulz, Rebecca Saxe, Vikash Mansinghka, Guangyu Robert Yang, Edward Boyden, Matt Wilson
[recordings - on the right - are in reverse chronological order]
MIT's Quest for Intelligence aims to understand intelligence by tightly coupling scientific enquiry and rigorous engineering to address real-world problems that are beyond current machine capabilities but within the ability of natural intelligence. To achieve this vision, the study of natural intelligence and efforts to build intelligent systems must be treated as two interlocked aspects of the same grand challenge, with neuroscientists and cognitive scientists working alongside computer scientists and software engineers.
On November 4, researchers from the Quest 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 for this 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.
Presentations will be in Building 46 on the MIT campus and streamed via YouTube. Registered attendees are invited to lunch and a poster session.
Welcome Dean Nergis Mavalvala, MIT School of Science
"What would it mean to understand intelligence?" Professor Jim DiCarlo, Director of the MIT Quest for Intelligence
Quest | CBMM history and future Professor Tomaso Poggio, Director of the Center for Brains, Minds, and Machines
Roadmap for the day Professor Josh Tenenbaum
Core human intelligence
Insights into AI algorithms drawn from hippocampal function Professor Ila Fiete and Professor Matt Wilson
Embodied Intelligence Mission Professor Nancy Kanwisher and Professor Leslie Kaelbling
Language Mission Professor Ev Fedorenko and Professor Jacob Andreas
Engineering team Katherine Fairchild, Engineering Team Lead
If you would like to join us for lunch, please be sure to register so that we can plan accordingly.
Welcome Dean Dan Huttenlocher, MIT Schwarzman College of Computing
Directions beyond core human intelligence: Looking down, looking up, looking forward
Mapping, analyzing, and emulating brain computations Professor Ed Boyden
Brain-inspired artificial neurons Professor Bilge Yildiz
Building and evaluating multi-system functional brain models Professor Robert Guangyu Yang
Collective Intelligence Mission Professor Tom Malone
CBMM summer school Dr. Andrei Barbu
How does intelligence arise?
Developing Intelligence Mission Professor Josh Tenenbaum, Professor Laura Schulz, and Professor Rebecca Saxe
Modeling and Inference presentation Dr. Vikash Mansinghka
Poster session and reception
43 Vassar St.,
Cambridge, MA 02139