Cutting the Power Cord in AI: Enabling Battery Powered Devices to See and Hear
In this 30-minute webinar, Maxim's Kris Ardis discusses the trends driving Artificial Intelligence insights to be made at the edge, some of the use cases that machine learning technologies can enable in true low-power edge devices and Maxim’s new AI accelerator solutions that enable AI in those edge devices.
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Speaker: Kris Ardis
Kris Ardis joined Maxim in 1997 as a software engineer and has held multiple positions in software development and business management. He is now responsible for Maxim’s Microcontroller, Software, and Artificial Intelligence product offerings. Kris has a B.S. in Computer Science from the University of Texas at Austin.