Abstract: The performance of artificial neural networks heavily depends on the optimization of network parameters, specifically weights and biases, during the ...
Any project, supported or not by a committee, that is currently being worked on or is considered active, and will have an end date. The COVID-19 pandemic drastically impacted education and how ...
Abstract: In robotics, spiking neural networks (SNNs) are increasingly recognized for their largely unrealized potential energy efficiency and low latency particularly when implemented on neuromorphic ...
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