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A neural network hardware inspired by the 3-D NAND flash array structure was experimentally demonstrated in a standard 65-nm CMOS process. Logic-compatible embedded flash memory cells were used for storing multi-level synaptic weights while a bit-serial architecture enables 8 bit 8 bit multiply-and-accumulate operation. A novel back-pattern tolerant program-verify scheme reduces the cell current variation to less than 0. 6~ A. Positive and negative weights are stored in adjacent bitlines, generating a differential output signal. Our eNAND-based neural network core achieves a 98. 5% handwritten digit recognition accuracy which is within 0. 5% of the software accuracy for the same weight precision. To the best of our knowledge, this work represents the first physical demonstration of an embedded NAND flash-based compute-in-memory chip in a standard logic process.
Kim et al. (Thu,) studied this question.