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| Image: Guillaume Dion |
Topics: Artificial Intelligence, Computer Science, Internet of Things, MEMS, Neuromorphic Devices
A single silicon beam (red), along with its drive (yellow) and readout (green and blue) electrodes, implements a MEMS capable of nontrivial computations.
In order to achieve the edge computing that people talk about in a host of applications including 5G networks and the Internet of Things (IoT), you need to pack a lot of processing power into comparatively small devices.
The way forward for that idea will be to leverage artificial intelligence (AI) computing techniques—for so-called AI at the edge. While some are concerned about how technologists will tackle AI for applications beyond traditional computing—and some are wringing their hands over which country will have the upper hand in this new frontier—the technology is still pretty early in its development cycle.
AI on a MEMS Device Brings Neuromorphic Computing to the Edge
Dexter Johnson, IEEE Spectrum
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