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• W2334954491 abstract "We present a framework of wave-based neuromorphic computing aiming at brain-like capabilities and efficiencies with nanoscale device integration. We take advantage of the unique nature of elastic nondissipative wave dynamics in both computations and IO communications in between as a means to natively implement and execute neuromorphic computing functions such as weighted sum in a spatiotemporal manner. Lower bound analysis based on a memory model and wave group velocity scaling is provided for conceptual evaluations." @default.
• W2334954491 created "2016-06-24" @default.
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• W2334954491 date "2016-09-01" @default.
• W2334954491 modified "2023-10-10" @default.
• W2334954491 title "Wave-Based Neuromorphic Computing Framework for Brain-Like Energy Efficiency and Integration" @default.
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• W2334954491 doi "https://doi.org/10.1109/tnano.2016.2545690" @default.
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