Machine Learning at the Edge

Presented by

Chris Rogers, SensiML Corporation; Ramya Ravichandar, FogHorn

About this talk

Machine learning is a subset of AI or artificial intelligence. But it’s a vital part, and it’s the part that typically engineered by those of us in the embedded community. Machine learning can be handled in different places within the system, and it often lives at the Edge or node level. If implemented properly, it can be performed with a minimal level of processing power and can even be powered by a battery. Learn how to take advantage of machine learning using existing technology.

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