Machine Learning at the Edge
On-demand webcast:
Aired live: May 14, 2019 02:00 PM EDT
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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.
Sponsors:
arm, FogHorn Systems, SensiML Corporation
Speakers:
Chris Rogers, CEO, SensiML Corporation
Ramya Ravichandar, VP of Product Management, FogHorn
Moderator:
Brandon Lewis, OpenSystems Media
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