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Wednesday, June 27 • 2:30pm - 3:20pm
MA4: Machine Learning on Deeply Embedded, Resource-Constrained IoT End-Nodes

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Imagine a smart sensor that can make decisions autonomously, or a sensor that can save energy by deciding what data to communicate using learned decisions on the values it has sensed. Imagine that you could do this on tiny micro-controllers. This session shares work done by Arm research team where a machine learning application was implemented on off-the-shelf micro-controllers. It covers the findings where deep neural networks is applied to smart sensor applications.

Speakers
avatar for Tim Menasveta

Tim Menasveta

Senior Product Manager, Arm, Inc.
Tim Menasveta started his career as an embedded software engineer and has held various development, applications engineering, and management roles at ARM, Accent Semiconductor, CEVA-DSP, DSP Group, and Schlumberger. He is currently a Senior Product Manager at Arm.


Wednesday June 27, 2018 2:30pm - 3:20pm
Meeting Room 212AB

Attendees (22)