Metal–insulator transition (MIT) coupled with an ultrafast, significant, and reversible resistive
change in Mott insulators has attracted tremendous interest for investigation into next …

Bioinspired computation systems can achieve artificial intelligence, bypassing fundamental
bottlenecks and cost constraints. Computational frameworks suited for temporal/sequential …

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

In-memory computing technology built on 2D material-based nonvolatile resistive switches
(aka memristors) has made great progress in recent years. It has however been debated …

Abstract Processing-in-memory (PIM) techniques have gained much attention from computer
architecture researchers, and significant research effort has been invested in exploring and …

Manipulating the expression of synaptic plasticity of neuromorphic devices provides
fascinating opportunities to develop hardware platforms for artificial intelligence. However …

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 …

Memristor devices offer an alternative route to transistor scaling and the exponential growth
of computational resources. Numerous memristors have the potential to be used in …

This review motivates and synthesizes research efforts in neuroscience-inspired artificial
intelligence and biomimetic computing in terms of mortal computation. Specifically, we …

Capitalizing on rapid carrier migration characteristics and outstanding photoelectric
conversion performance, halide perovskite memristors demonstrate an exceptional resistive …