Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...
Abstract: Automatic guided vehicles (AGVs) are extensively employed in manufacturing workshops for their high degree of automation and flexibility. This paper investigates a limited AGV scheduling ...
D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...
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