Drawing on lessons from electronic health record implementation, we argue that AI’s ultimate impact will be determined not by use rates, but by implementation quality and fit. Poorly implemented ...
Abstract: Over the years, many frameworks and optimization techniques have been proposed to accelerate graph neural networks (GNNs). In contrast to the optimizations explored in these systems, we ...
Abstract: This brief presents an edge-AIoT speech recognition system, which is based on a new spiking feature extraction (SFE) method and a PoolFormer (PF) neural network optimized for implementation ...
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