Gaussian Synapses for Probabilistic Neural Networks
This 11-page article, published by Nature Communications, discusses probabilistic neural networks (PNNs) that can improve computing power through energy scaling, size scaling, and complexity scaling. "In short, 2D materials facilitate aggressive size scaling, analog Gaussian synapses offer energy scaling, and PNNs enable complexity scaling. Combined, these new developments can facilitate exascale computing and ultimately benefit scientific discovery, national security, energy security, economic security, infrastructure development, and advanced healthcare programs." Other topics covered in this article include probabilistic neural networks, brainwave patterns, device fabrication and measurements, and EEG data.
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September 13th, 2019
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