Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors
Mixed-signal neuromorphic processors provide extremely low-power operation for edge inference workloads, taking advantage of sparse asynchronous computation within spiking neural networks (SNNs). However, deploying robust applications to these devices is complicated by limited controllability over a...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IOP Publishing
2024-01-01
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| Serie: | Neuromorphic Computing and Engineering |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1088/2634-4386/ad2ec3 |
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