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Aspects of Machine Learning on the Edge

Aspects of Machine Learning on the Edge

Machine learning (ML) is hard. Making it work within the confined environment of an embedded device can easily become a quagmire unless we consider, and frequently revisit, the design and deployment aspects crucially affected by ML requirements. A bit of upfront planning makes the difference between project success and failure. For this article, our focus […]

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