In collaboration with the GSA, we have developed a whitepaper on “Edge AI” to address the needs of latency, power, and security for AI applications at the edge.

With smart sensors proliferating and the number of edge-enabled IoT devices expected to hit 7.8 billion by 2030, the semiconductor industry needs to more effectively address the unique learning and performance requirements of edge AI. Neuromorphic edge computing is one solution to this challenge discussed in this paper.

You can view and download the whitepaper here.

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