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Now available—the Embedded Vision Summit On-Demand Edition! Gain valuable computer vision and edge AI insights and know-how from the experts at the 2021 Summit.

Song Han, Associate Professor in the Department of Electrical Engineering and Computer Science at MIT, delivers the presentation “Once-for-All DNNs: Simplifying Design of Efficient Models for Diverse Hardware” at the Edge AI and Vision Alliance’s July 2020 Edge AI and Vision Innovation Forum. Han shares his group’s latest research on the automated generation of deep neural network architectures that execute efficiently across diverse hardware targets.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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