Inspired by biological neuromorphic computing, artificial neural networks based on crossbar
arrays of bilayer tantalum oxide memristors have shown to be promising alternatives to …

Reservoir computing is a promising approach to implementing high-performance artificial
intelligence that can process input data at lower computational costs than conventional …

As a typical representative of nanomaterials, carbon nanomaterials have attracted
widespread attention in the construction of electronic devices due to their unique physical …

The future computing beyond von Neumann era relies heavily on emerging devices that can
extensively harness material and device physics to bring novel functionalities and can …

Inspired by the structure and principles of the human brain, spike neural networks (SNNs)
appear as the latest generation of artificial neural networks, attracting significant and …

Cybersecurity at the edge requires fast computing in energy-constrained environments.
Decision trees can provide an explainable solution for network intrusion detection with high …

With the rapid development of edge devices, the deployment of AI on these devices has
become a focal point for researchers. Moreover, the emergence of multimodal neural …

Filamentary resistive switching (RS) devices are not only considered as promising building
blocks for brain-inspired computing architectures but also realize an unprecedented …

This paper investigates the synchronization problem for master‐slave stochastic memristive
neural networks (SMNNs) with time‐delay via event‐triggered impulsive control (ETIC) …

In this paper, we prepared and investigated the electrical switching behaviors of Cu 3 P/Ag 2
S heterojunction in the absence/presence of light/heat excitation. The structure exhibited …