Electrical and Computer Engineering Location: Thornton Hall E-316 and Zoom Webinar
Add to Calendar 2021-12-03T14:00:00 2021-12-03T14:00:00 America/New_York ECE Seminar: Jeremy Holleman Gain insight into low-power machine learning solutions for battery-powered devices. Thornton Hall E-316 and Zoom Webinar RSVP To This Event

Jeremy Holleman
Associate Professor, University of North Carolina Charlotte
Chief Scientist, Syntiant

Seminar:  Resource-Efficient Machine Learning for the Far Edge: Challenges and Opportunities

About the Speaker: Jeremy Holleman is an Associate Professor of Electrical and Computer Engineering at the University of North Carolina, Charlotte.  He is also co-founder and  Chief Scientist at Syntiant, a machine learning semiconductor company delivering low-power machine learning solutions for battery-powered devices. He has held positions at the University of Tennessee as well as Data I/O and National Semiconductor. He received his B.S. from Georgia Tech and his Ph.D. from the University of Washington, where he studied micro-power integrated circuits for neural interfaces. His research interests span several disciplines including low-power circuit design, machine learning, and resource-constrained intelligent systems.

Host:  Mircea Stan, Virginia Microelectronics Consortium Professor, electrical and computer engineering