High-Performance Neuromorphic Computing Based on One-Dimensional Halide Perovskites
Natalie Cotterell, Development Editor
Neuromorphic computing, inspired by the structure of the human brain, aims to overcome the limitations of traditional computing architectures by more closely integrating processing and memory functions. It is believed that this approach is a step towards dramatically improving the efficiency of artificial neural networks by in-memory computing. Specifically, compared to conventional graphics processing units, […]