Abstract: Tiny AI-edge devices use nvCIM for power-off weight storage and active-mode computation, enabling high energy efficiency (EF) and low power-on latency. While tiny Transformer models offer ...
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 ...
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