Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses
IEEE Transactions on Electron Devices, pp. 5004-5011, 2016.
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. New memory technologies, such as nanoscale two-terminal resistive switching memory devices, offer a compact, scalable, and low-power alternative that permits on-chip co...More
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