A novel device consisting of metal, dielectric, and metal layers remembers the history of electrical signals sent through it.

Abstract: By using the nonvolatile and stochastic properties of memristor, memristors crossbar arrays can efficiently accelerate Bayesian neural networks (BNNs). However, Bayesian convolutional neural ...

Europe could gain competitive edge by supporting the development of new hardware for artificial intelligence (AI).

This project is related to the article Optimization of the memristor fabrication based on graph covolutional network on Physica Scripta.

The growing use of artificial intelligence (AI)-based models is placing greater demands on the electronics industry, as many of these models require significant storage space and computational power.

State Key Laboratory of Superhard Materials, College of Physics, Jilin University, Changchun 130012, People’s Republic of China ...

To make sense of the world, most humans rely in great part on their vision. Recent research suggests that the human visual ...

Division of Electronics and Electrical Engineering, Dongguk University, Seoul 04620, Republic of Korea ...

Abstract: Thanks to the biomimetic properties of synaptic plasticity, memristors are often utilized to mimic biological neuronal synapses. This article presents a new memristor synapse coupling (MSC) ...