Solving The Reliability Problem Of Memristor-Based Artificial Neural Networks

A technical paper titled "ReMeCo: Reliable Memristor-Based in-Memory Neuromorphic Computation" was published by researchers at Eindhoven University of Technology, University of Tehran, and USC. Abstract: "Memristor-based in-memory neuromorphic computing systems promise a highly efficient implementation of vector-matrix multiplications, commonly used in artificial neural networks (ANNs). H... » read more

Mapping Transformation Enabled High-Performance and Low-Energy Memristor-Based DNNs

Abstract: "When deep neural network (DNN) is extensively utilized for edge AI (Artificial Intelligence), for example, the Internet of things (IoT) and autonomous vehicles, it makes CMOS (Complementary Metal Oxide Semiconductor)-based conventional computers suffer from overly large computing loads. Memristor-based devices are emerging as an option to conduct computing in memory for DNNs to make... » read more