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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.

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~3 min • Beginner • English
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