Crossing the Hardware-software Divide for Faster, Energy-efficient, AI
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.
Speakers
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Associate Professor, Department of Electrical Engineering and Computer ScienceResearch Laboratory of Electronics- AI Hardware
- Efficient AI
- Computer Vision
- Machine Learning
- AI Robotics
Missions
Schedule
Schedule
Date: Thursday, April 29, 2021
Time: 12pm - 1pm EST
Where: Zoom Webinar
12:00 PM - 12:05 PM
Introduction
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
Register
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