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Hardware acceleration of artificial neural network (ANN) processing has potential for supporting applications benefiting from real time and low power operation, such as autonomous vehicles, robotics, recognition and data mining. Most interest in ANNs targets acceleration of deep multi-layered ANNs that can require days of offline training to converge on a(More)
3D technologies offer significant potential to improve total performance and performance per unit of power. After exploiting TSV technologies for cost reduction and increasing memory bandwidth, the next frontier is to create sophisticated logic on logic solutions that promise further increases in performance/power beyond those attributable to memory(More)
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