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Wednesday, September 22 • 11:30am - 12:00pm
ENGY: Strategies for Power-Efficient Machine Learning at the Edge

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The push for greater intelligence has paved the way for machine learning at the edge of portable, battery-powered devices. While enabling greater privacy and performance, such devices are power-inefficient because they’re designed to digitize a vast amount of (mostly irrelevant) sensor data. To extend battery life, designers can choose more power-efficient components, use analog for computation in digital chips, or select an analogML chip to classify data at the start of the signal chain.

avatar for Tom Doyle

Tom Doyle

Founder & CEO, Aspinity
Tom Doyle brings over 30 years of experience in operational excellence and executive leadership in analog and mixed-signal semiconductor technology to Aspinity. Prior to Aspinity, Tom was group director of Cadence Design Systems’ analog and mixed-signal IC business unit, where he... Read More →

Wednesday September 22, 2021 11:30am - 12:00pm PDT
Executive Ballroom B (BF)