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1 Ergebnisse
1
30.2 A 22nm 0.26nW/Synapse Spike-Driven Spiking Neural Netw..:
, In:
2024 IEEE International Solid-State Circuits Conference (ISSCC)
,
Liu, Ying
;
Ma, Yufei
;
Shang, Ninghui
... - p. 484-486 , 2024
Link:
https://doi.org/10.1109/ISSCC49657.2024.10454472
RT T1 <cTitle>2024 IEEE International Solid-State Circuits Conference (ISSCC)</cTitle>: T1 <Title>30.2 A 22nm 0.26nW/Synapse Spike-Driven Spiking Neural Network Processing Unit Using Time-Step-First Dataflow and Sparsity-Adaptive In-Memory Computing</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10454472&Exemplar=1&LAN=DE A1 Liu, Ying A1 Ma, Yufei A1 Shang, Ninghui A1 Zhao, Tianhao A1 Chen, Peiyu A1 Wu, Meng A1 Ru, Jiayoon A1 Jia, Tianyu A1 Ye, Le A1 Wang, Zhixuan A1 Huang, Ru YR 2024 SN 2376-8606 K1 Training K1 Power demand K1 Vision sensors K1 In-memory computing K1 Inference algorithms K1 Classification algorithms K1 System-on-chip SP 484 OP 486 LK http://dx.doi.org/https://doi.org/10.1109/ISSCC49657.2024.10454472 DO https://doi.org/10.1109/ISSCC49657.2024.10454472 SF ELIB - SuUB Bremen
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