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Fast and robust analog in-memory deep neural network training

Abstract Analog in-memory computing is a promising future technology for efficiently accelerating deep learning networks. While using in-memory computing to accelerate the inference phase has been studied extensively, accelerating the training phase has received less attention, despite its arguably...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awduron: Malte J. Rasch, Fabio Carta, Omobayode Fagbohungbe, Tayfun Gokmen
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: Nature Portfolio 2024-08-01
Cyfres:Nature Communications
Mynediad Ar-lein:https://doi.org/10.1038/s41467-024-51221-z
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