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MIT Quest AI Roundtable

Toward Brain-inspired,
Energy-efficient Chips

March 26, 2021 | 12pm -1pm EST
Webinar

Toward Brain-inspired, Energy-efficient Chips

Traditional computer chips waste time and energy shuttling data between separate memory and computational units. Neural circuits in the brain, by contrast, achieve enormous efficiencies by storing and processing information at the same place. Inspired by biological models of learning, researchers are designing computing elements that mimic neural circuits and consume massively less energy.

Speakers

photo of Bilge Yildiz

Bilge Yildiz

Speaker
Professor, Department of Nuclear Science and Engineering
Professor, Department of Materials Science and Engineering
Photo of Michale Fee

Michale Fee

Moderator, Dorflinger Professor of Neuroscience, Department of Brain and Cognitive Sciences
photo of Jesus del Alamo

Jesus del Alamo

Panelist
Donner Professor and Mac Vicar Faculty Fellow, Department of Electrical Engineering and Computer Science
photo of Ju Li

Ju Li

Panelist
Battelle Energy Alliance Professor, Deparment of Nuclear Science and Engineering
Professor, Department of Materials Science and Engineering
Photo of Aude Oliva

Aude Oliva

Moderator
Director, MIT Quest Corporate
MIT Director, MIT-IBM Watson AI Lab
Senior Research Scientist, MIT
Schwarzman College of Computing

Schedule

Schedule

Date: Friday, March 26, 2021
Time: 12pm - 1pm EST
Where: Zoom Webinar

12:00 PM - 12:05 PM

Introduction 
Aude Oliva

12:05 PM - 12:15 PM

Electrochemical Analog Synapses for Energy-efficient Brain-inspired Computing
Bilge Yildiz

12:15 PM - 12:25 PM

Vocal Learning in the Songbird:
A Model for Complex Learned Behaviors
Michale Fee

12:25 PM - 12:40 PM

Roundtable Discussion
Bilge Yildiz, Michale Fee, Jesus del Alamo, Ju Li

12:40 PM - 12:55 PM

Q&A

12:55 PM - 1:00 PM

Wrap up
Aude Oliva