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MIT Quest AI Roundtable

Crossing the Hardware-Software
Divide for Faster,
Energy-efficient, AI

April 29, 2021 | 12pm - 1pm EST

Crossing the Hardware-software Divide for Faster, Energy-efficient, AI

AI applications are moving quickly to smartphones and low-power hand-held devices. To make the shift, both hardware and software will need to be redesigned for speed and efficiency. We will discuss leading strategies for achieving efficient AI by co-designing hardware and software for deep learning.


Photo of Vivienne Sze

Vivienne Sze

Associate Professor, Department of Electrical Engineering and Computer Science
Research Laboratory of Electronics
Photo of Song Han

Song Han

Robert J. Shillman (1974) CD Assistant Professor
Department of Electrical Engineering and Computer Science
Photo of Aude Oliva

Aude Oliva

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



Date: Thursday, April 29, 2021
Time: 12pm - 1pm EST
Where: Zoom Webinar

12:00 PM - 12:05 PM

Aude Oliva

12:05 PM - 12:15 PM

Efficient Computing for AI and Robotics:
From Hardware Accelerators to Algorithm Design
Vivienne Sze
Q&A with Vivienne Sze

12:15 PM - 12:25 PM

Putting AI on a Diet:
TinyML and Efficient Deep Learning
Song Han

12:25 PM - 12:40 PM

Roundtable Discussion
Vivienne Sze, Song Han, Aude Oliva

12:40 PM - 12:55 PM

Q&A and Wrap Up