Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …

The unique electron spin, transfer, polarization and magnetoelectric coupling characteristics
of ABO3 multiferroic perovskite materials make them promising candidates for application in …

Since the beginning of the 21st century, there is no doubt that the importance of artificial
intelligence has been highlighted in many fields, among which the memristor-based artificial …

With the rapid development of next-generation artificial intelligence technology, research on
advanced machine vision has received extensive attention. It is well-known that significant …

Emerging brain-inspired neuromorphic computing systems have become a potential
candidate for overcoming the von Neuman bottleneck that limits the performance of most …

Since memristors as an emerging nonlinear electronic component have been considered
the most promising candidate for integrating nonvolatile memory and advanced computing …

Capacitive-coupled memristive effect provides a favorable way for develo** novel
multifunctional device since it simultaneously exhibits capacitive behavior and resistive …

Traditional machine vision is suffering from redundant sensing data, bulky structures, and
high energy consumption. Biological‐inspired neuromorphic systems are promising for …

The high-speed development of the Internet of Things and artificial intelligence is
revolutionizing the world in terms of industrial production, environmental protection, medical …