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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Bibliographic Details
Published in:	ETRI Journal
Main Authors:	Hyeonguk Jang, Kyuseung Han, Kwang-Il Oh, Sukho Lee, Jae-Jin Lee, Woojoo Lee
Format:	Article
Language:	English
Published:	Electronics and Telecommunications Research Institute (ETRI) 2024-10-01
Subjects:	low-power ai-socs snn express spiking neural networks uwa-snn
Online Access:	https://doi.org/10.4218/etrij.2024-0114

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