Tight PPA constraints are only one reason to make sure an NPU is optimized; workload representation is another consideration.

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Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

Abstract: Neural network (NN) models implemented in embedded devices have been shown to be susceptible to side-channel attacks (SCAs), allowing recovery of proprietary model parameters, such as ...

Abstract: The primary goals of neuromorphic engineering are to study, simulate, model, and implement neural behavior of the human brain. In this work, we propose a modified version of the original ...