Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine

Large memristor arrays composed of hafnium oxide are demonstrated with suitability for computing matrix operations at higher power efficiency than digital systems. The nonmemory application of memristors is performed in an analog computing platform. Computational operations with 6-bit equivalent precision are shown and utilized to directly compute neural network inference within a memristor crossbar. This is reported by Miao Hu, Catherine E. Graves, Can Li, Yunning Li, Ning Ge, Eric Montgomery, Noraica Davila, Hao Jiang, R. Stanley Williams, J. Joshua Yang, Qiangfei Xia, and John Paul Strachan in the article To know more, please go to the Advanced Materials homepage.