Neuromorphic computing can potentially solve the von Neumann bottleneck of current
mainstream computing because it excels at self‐adaptive learning and highly parallel …

Neuromorphic electronics draw attention as innovative approaches that facilitate hardware
implementation of next‐generation artificial intelligent system including neuromorphic in …

In recent years, the rapid increase in the data volume to be processed has led to urgent
requirements for highly efficient computing paradigms. Brain-like computing that mimics the …

Thin-film transistors using metal oxides have been investigated extensively because of their
high transparency, large area, and mass production of metal oxide semiconductors …

Conventional von Neumann architecture is insufficient in establishing artificial intelligence
(AI) in terms of energy efficiency, computing in memory and dynamic learning. Delightedly …

The perceptual learning function of a simulating human body is very important for
constructing a neural computing system and a brainlike computer in the future. The sense of …

With the advancement of neuromorphic electronics, the design and fabrication of large-scale
and cost-effective photoelectric synaptic transistors have received much attention. Herein …

As constructing hardware technology is widely regarded as an important step toward
realizing brain-like computers and artificial intelligence systems, the development of artificial …

We fabricated and characterized a Ni/ZnO/TiN memristor device designed to emulate an
artificial synapse for use in a neuromorphic system. Chemical and material characterization …

The development of energy-efficient storage platforms is of paramount importance.
Specifically, wearable, smart, flexible, and portable electronic devices with small size …