Part 2: Computing at the Edge | Flexible Options for Inference Implementation at the Edge | NXP Semiconductors

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Part 2: Computing at the Edge | Flexible Options for Inference Implementation at the Edge

Part 2: Computing at the Edge | Flexible Options for Inference Implementation at the Edge

About This Training

In this webinar, Markus Levy and Rick Bye examine machine learning as a part of edge computing, and look at the cost and performance tradeoffs between MCUs and complex SoCs, using Vision, Voice, and Vibration as examples.

Learn more about Machine Learning

DURATION

1 hr

LANGUAGE

English

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Part 2: Flexible Options for Inference Implementation at the Edge

Part 2: Flexible Options for Inference Implementation at the Edge

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