AI at the Edge is now in vogue. But it presents a fundamental problem in that higher compute performance is needed, yet there are many constraints at the Edge, including size, weight, power, and cost. Each of those constraints presents its own unique problem. To understand how to design at the Edge, I spoke to Steven Wu, Vice President of the Research and Development Center at DFI in this week’s Embedded Executives podcast.
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