New Networks Study Results from Sungkyunkwan University Described (Adaptive Weight-bit Inversion for State Error Reduction for Robust and Efficient Deep Neural Network Inference Using Mlc Nand Flash)

摘要

By a News Reporter-Staff News Editor at Network Daily News - A new study on Networks is now available. According to news reporting from Suwon, South Korea, by NewsRx journalists, research stated, “When Flash memory is used to store the weights of a deep neural network (DNN), the inference accuracy can degrade owing to the state errors of the Flash memory. To protect the weights from state errors, the existing methods rely on an error correction code (ECC) or parity, which can incur power/storage overhead.”