The memristor is a resistive switch where its resistive state is programable based on the
applied voltage or current. Memristive devices are thus capable of storing and computing …

Artificial Intelligence has found many applications in the last decade due to increased
computing power. Artificial Neural Networks are inspired in the brain structure and consist in …

Recent research in nanotechnology has led to the practical realization of nanoscale devices
that behave as memristors, a device that was postulated in the seventies by Chua based on …

In the era of information, characterized by an exponential growth in data volume and an
escalating level of data abstraction, there has been a substantial focus on brain‐like chips …

Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …

Neural networks, one of the key artificial intelligence technologies today, have the
computational power and learning ability similar to the brain. However, implementation of …

Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …

The memristor is a promising candidate to implement high-density memory and
neuromorphic computing. Based on the characteristic retention time, memristors are …

This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …

Neuromorphic computing, a computing paradigm inspired by the human brain, enables
energy-efficient and fast artificial neural networks. To process information, neuromorphic …