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SNN eXpress: Streamlining low-power AI-SoC development with unsigned weight accumulation spiking neural network

SoCs with analog-circuit-based unsigned weight-accumulating spiking neural networks (UWA-SNNs) are a highly promising solution for achieving low-power AI-SoCs. This paper addresses the challenges that must be overcome to realize the potential of UWA-SNNs in low-power AI-SoCs: (i) the absence of UWA-...

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Autori principali: Hyeonguk Jang, Kyuseung Han, Kwang-Il Oh, Sukho Lee, Jae-Jin Lee, Woojoo Lee
Natura: Artigo
Lingua:Inglês
Pubblicazione: Electronics and Telecommunications Research Institute (ETRI) 2024-10-01
Serie:ETRI Journal
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Accesso online:https://doi.org/10.4218/etrij.2024-0114
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