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
Where do you see high-performance Edge AI making the most impact? Automotive autonomy and driver assistance (ADAS) immediately comes to mind. To make the roads safer we increasingly let technology
Orr Danon
, September 22, 2021
In the last decade we have witnessed a surging demand for complex computing, more specifically for deep learning. No longer satisfied by centralized processing in datacenters, it is propelling a fast evolution of AI inference at the edge – at the nearest point of aggregation, if
Avi Baum
, March 24, 2021
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