Due to the rapid development of artificial intelligence (AI) and internet of things (IoTs),
neuromorphic computing and hardware security are becoming more and more important …

Threshold switches with Ag or Cu active metal species are volatile memristors (also termed
diffusive memristors) featuring spontaneous rupture of conduction channels. The temporal …

Silver/copper-filament-based resistive switching memory relies on the formation and
disruption of a metallic conductive filament (CF) with relatively large surface-to-volume ratio …

Semiconductor memories are essential ingredients of modern electronic devices. Resistive
Random-Access Memories (RRAMs) have emerged as better alternatives for conventional …

Owing to their unique features such as thresholding and self‐relaxation behavior diffusive
memristors built from volatile electrochemical metallization (v‐ECM) devices are drawing …

Homomorphic encryption performs computations on encrypted data without decrypting,
thereby eliminating security issues during the data communication between clouds and …

This study demonstrates an integrate and fire (I&F) neuron using threshold switching (TS)
devices to implement spike‐based neuromorphic system. An I&F neuron can be realized …

Bio-mimetic advanced electronic systems are emerging rapidly, engrossing their
applications in neuromorphic computing, humanoid robotics, tactile sensors, and so forth …

Neuromorphic computing can process large amounts of information in parallel and provides
a powerful tool to solve the von Neumann bottleneck. Constructing an artificial neural …

Since research on artificial intelligence has begun receiving much attention, interest in
efficient hardware that can process a complex and large amount of information has also …