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تسجيل مستخدم جديدFrustrated Arrays of Nanomagnets for Efficient Reservoir Computing
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We simulated our nanomagnet reservoir computer (NMRC) design on benchmark tasks, demonstrating NMRCs high memory content and expressibility. In support of the feasibility of this method, we fabricated a frustrated nanomagnet reservoir layer. Using this structure, we describe a low-power, low-area system with an area-energy-delay product $10^7$ lower than conventional RC systems, that is therefore promising for size, weight, and power (SWaP) constrained applications.
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Reservoir computing is an emerging methodology for neuromorphic computing that is especially well-suited for hardware implementations in size, weight, and power (SWaP) constrained environments. This work proposes a novel hardware implementation of a
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