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Fast and robust analog in-memory deep neural network training

Computer Science

Fast and robust analog in-memory deep neural network training

M. J. Rasch, F. Carta, et al.

Discover how analog in-memory computing (AIMC) is revolutionizing deep learning training acceleration! Authors Malte J. Rasch, Fabio Carta, Omobayode Fagbohungbe, and Tayfun Gokmen explore improved algorithms that tackle the challenges of conductance noise and more, paving the way for faster and more efficient DNN training.... show more
Citation Metrics
Citations
22
Influential Citations
1
Reference Count
61
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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