Neuromorphic Computing for Energy-Efficient Deep Learning in Edge AI
Keywords:
neuromorphic computing, spiking neural networks, edge AIAbstract
Neuromorphic computer is turned out as a revolutionary model for energy efficient deep learning in edge artificial intelligence (Edge AI) pointing out the computational and power constraint of traditional machine learning models. This paper aims to investigate bio-inspired learning mechanism by utilising spiking neural networks (SNNs) and neuromorphic hardware, which includes event-driven processing and synaptic plasticity to optimise deep learning models for edge computing applications.
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