Explores image association in neural networks, suggesting advancements in computing efficiency.
In-Memory Associative Computing Large-scale and highly reliable Hopfield neural networks using vertical NAND flash memory is proposed for the in-memory associative computing. Owing to vertically stacked structure and sequential page-by-page operations, image association is performed within a single memory block. More details can be found in the Research Article by Woo Young Choi and co-workers (DOI: 10.1002/aisy.202500655).
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Chang et al. (2026) studied this question.
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