Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...
Image sensors with programmable, highly parallel signal processing, so called Vision-Systems-on-Chip, perform computationally intensive tasks directly on the sensor itself. Therefore it is possible to ...
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