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ONE STEP CLOSER TO DEEP LEARNING ON NEUROMORPHIC HARDWAREMarch 5, 2019 Michael Feldman

A group of researchers at Sandia National Laboratories have developed a tool that can cross-train standard convolutional neural networks (CNN) to a spiking neural model that can be used on neuromorphic processors. The researchers claim that the conversion will enable deep learning applications to take advantage of the much better energy efficiency of neuromorphic hardware, which are designed to mimic the way the biological neurons work.

https://www.nextplatform.com/2019/03/05/one-step-closer-to-deep-learning-on-neuromorphic-hardware/