Wevolver and
Syntiant are creating a series that explore the work of innovators and the future of pervasive AI. Syntiant is developing ultra-low-power AI processors. Because they believe in the importance of innovation, Syntiant is engaging in these fireside chats with engineers and designers who are on the cutting edge of their field.
In
previous conversations we spoke with CEO and founder of Women in Voice Dr. Joan Palmiter Bajorek, The Things Industries CEO Wienke Giezeman, Rev.com’s Daniel Kokotov, Star Wars Animatronic Designer Gustav Hoegen, and Fashiontech Designer Anouk Wipprecht.
Prospects for market growth for AI at the edge
Tiny Machine Learning- a fusion of ML techniques, algorithms, and hardware that allow you to process data on ultra-low-power devices on the edge of a network, packs a punch. Getting real-time insights from frugal models could unlock better sustainability from littering sensors throughout intelligent cities and environments. Moving from big to little is not without teething problems, but the diversity of the subfield is what Gousev believes breeds the most promise and excitement. “You give this technology to people, and they discover ways to use it for different applications. If you look at verticals, I see a lot of traction in tinyML and many opportunities in industrial IoT, because all industries are going through digitalization.”
#9 of our Voice of Innovation fireside chat series: Robotics and AI reporter Rachel Gordon speaks to Gousev, the co-founder of the TinyML foundation, on taking everything we know about machine learning and shrinking it down.
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