Reservoir computing (RC) is a computational architecture capable of efficiently processing
temporal information, which allows low-cost hardware implementation. However, the …

Developing a high-efficiency neuromorphic hardware network is essential to achieve
complex artificial intelligence. Here, for the first time, we propose a multi-neuromorphic …

Flexible organic monitoring system that can work in short‐wave infrared (SIR) region has
great potential in autonomous driving, night driving safety, military encryption, biomedical …

The cointegration of artificial neuronal and synaptic devices with homotypic materials and
structures can greatly simplify the fabrication of neuromorphic hardware. We demonstrate …

Diverse microscopic ionic dynamics help mediate the ability of a biological neural network to
handle complex tasks with low energy consumption. Thus, rich internal ionic dynamics in …

The fully memristive neural network consisting of the threshold switching (TS) material‐
based electronic neurons and resistive switching (RS) one‐based synapses shows the …

The fields of brain‐inspired computing, robotics, and, more broadly, artificial intelligence (AI)
seek to implement knowledge gleaned from the natural world into human‐designed …

Artificial neural networks (ANNs) have gained considerable momentum in the past decade.
Although at first the main task of the ANN paradigm was to tune the connection weights in …

Inspired by the principles of the biological nervous system, neuromorphic engineering has
brought a promising alternative approach to intelligence computing with high energy …

As the boom of data storage and processing, brain-inspired computing provides an effective
approach to solve the current problem. Various emerging materials and devices have been …