Kilpatrick Townsend & Stockton LLP
Deep learning based regression framework for read thresholds in a NAND flash memory
Techniques related to improving a performance related to at least data reads from a memory are described. In an example, a computer system hosts a regression model that includes a neural network. The neural network is trained based on training data that is measured under different combinations of operational conditions and storage conditions. In operation, actual operational and storage conditions associated with the memory are input to the regression model. The neural network outputs a voltage read threshold based on these actual conditions. The computer system uses the voltage read threshold to read data stored in the memory.
SK hynix Inc.
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Meysam Jianqing Chenrong Xuanxuan Fan
Asadi Chen Xiong Lu Zhang