April 17, 2023, 8:02 p.m. | Ole Richter (1,3,4), Yannan Xing (2), Michele De Marchi (1), Carsten Nielsen (1), Merkourios Katsimpris (1), Roberto Cattaneo (1), Yudi Ren (2), Qian

cs.LG updates on arXiv.org arxiv.org

Edge computing solutions that enable the extraction of high level information
from a variety of sensors is in increasingly high demand. This is due to the
increasing number of smart devices that require sensory processing for their
application on the edge. To tackle this problem, we present a smart vision
sensor System on Chip (Soc), featuring an event-based camera and a low power
asynchronous spiking Convolutional Neuronal Network (sCNN) computing
architecture embedded on a single chip. By combining both sensor …

application architecture arxiv asynchronous chip computing demand devices edge edge computing embedded event extraction information latency low low power network neuron pipeline power processing sensor sensors sensory smart soc solutions the edge vision

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