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 …

The continued growth in the demand of data storage and processing has spurred the
development of high-performance storage technologies and brain-inspired neuromorphic …

Associative learning, a critical learning principle to improve an individual's adaptability, has
been emulated by few organic electrochemical devices. However, complicated bias …

Memristive devices are among the most emerging electronic elements to realize artificial
synapses for neuromorphic computing (NC) applications and have potential to replace the …

Emulation of brain‐like signal processing with thin‐film devices can lay the foundation for
building artificially intelligent learning circuitry in future. Encompassing higher functionalities …

Experimental demonstration of resistive neural networks has been the recent focus of
hardware implementation of neuromorphic computing. Capacitive neural networks, which …

If a three-dimensional physical electronic system emulating synapse networks could be built,
that would be a significant step toward neuromorphic computing. However, the fabrication …

Neuromorphic materials are promising for fabricating artificial synapses for flexible
electronics, but they are usually expensive and lack a good combination of electronic and …

Simulating the human brain for neuromorphic computing has attractive prospects in the field
of artificial intelligence. Optoelectronic synapses have been considered to be important …

Artificial synaptic devices are the essential components of neuromorphic computing
systems, which are capable of parallel information storage and processing with high area …