Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses

27 Sep 2016S. Burc EryilmazEmre NeftciSiddharth JoshiSangBum KimMatthew BrightSkyHsiang-Lan LungChung LamGert CauwenberghsH. -S. Philip Wong

Current large scale implementations of deep learning and data mining require thousands of processors, massive amounts of off-chip memory, and consume gigajoules of energy. Emerging memory technologies such as nanoscale two-terminal resistive switching memory devices offer a compact, scalable and low power alternative that permits on-chip co-located processing and memory in fine-grain distributed parallel architecture... (read more)

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