The human brain is a sophisticated, high‐performance biocomputer that processes multiple
complex tasks in parallel with high efficiency and remarkably low power consumption …

In this Review, memristors are examined from the frameworks of both von Neumann and
neuromorphic computing architectures. For the former, a new logic computational process …

Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

Neuron is the basic computing unit in brain-inspired neural networks. Although a multitude
of excellent artificial neurons realized with conventional transistors have been proposed …

Historically, memory technologies have been evaluated based on their storage density, cost,
and latencies. Beyond these metrics, the need to enable smarter and intelligent computing …

Neuromorphic computing has become an increasingly popular approach for artificial
intelligence because it can perform cognitive tasks more efficiently than conventional …

Human brain outperforms the current von Neumann digital computer in many aspects, such
as energy efficiency and fault‐tolerance. Inspired by human brain, neuromorphic …

Connecting a functional electronic element into any a nonlinear circuit which can enhance
its potential functional and controllability. Memristor as a nonlinear element, it can be used to …

Neuromorphic systems aim to implement large‐scale artificial neural network on hardware
to ultimately realize human‐level intelligence. The recent development of nonsilicon …

The slowing pace of performance improvements in modern processors along with the
breakdown of power scaling forecasts an imminent end to the traditional transistor scaling …