Memristors, promising nanoelectronic devices with in-memory resistive switching behavior
that is assembled with a physically integrated core processing unit (CPU) and memory unit …

Neuromorphic computing provides alternative hardware architectures with high
computational efficiencies and low energy consumption by simulating the working principles …

Neuromorphic computing based on memristors capable of in-memory computing is
promising to break the energy and efficiency bottleneck of well-known von Neumann …

As data processing volume increases, the limitations of traditional computers and the need
for more efficient computing methods become evident. Neuromorphic computing mimics the …

As a new type of nonvolatile memory, the resistive memristor has broad application
prospects in information storage and neural computing based on its excellent resistive …

Recently, memristors with brain-like synaptic behavior have attracted widespread attention,
offering unprecedented opportunities for constructing future artificial intelligent bio-inspired …

The flexible biomimetic sensory system inspired by biology exhibits learning, memory, and
cognitive behavior toward external stimuli, providing a promising direction for the future …

Neuromorphic platforms are gaining popularity due to their superior efficiency, low power
consumption, and adaptable parallel signal processing capabilities, overcoming the …

Artificial intelligence of things (AIoT) aims to establish smart informative interactions between
humans and devices. However, common pixelated sensing arrays in AIoT applications …

The research community is in permanent search of novel materials and exploitation of
already elaborated phenomena to reveal yet unknown materials characteristics …