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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| Автори: | , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Electronics and Telecommunications Research Institute (ETRI)
2024-10-01
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| Серія: | ETRI Journal |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.4218/etrij.2024-0114 |
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