Optoelectronic memristors (OMs) have emerged as a promising optoelectronic
Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic …

In recent years, 2D noble-transition-metal dichalcogenides (NTMDs) have attracted
significant attention for their unique structure and novel properties. Due to the almost full …

Interface-driven effects in ferroelectric van der Waals (vdW) heterostructures provide fresh
opportunities in the search for alternative device architectures toward overcoming the von …

The development of artificial intelligence has posed a challenge to machine vision based on
conventional complementary metal‐oxide semiconductor (CMOS) circuits owing to its high …

Most current studies of artificial synapses only mimic the static plasticity, which is far from
achieving the complex behaviors of the human brain. The few reported dynamic …

Rapid developments in artificial neural network techniques and retina-inspired artificial
visual systems are required to realize the sensing, processing, and memorization of an …

Abstract Machine vision systems that capture images for visual inspection and recognition
tasks must be able to perceive, memorize, and compute any color scene. To achieve this …

Artificial neural visual electronic devices have attracted great research interest in the fields of
low-power and high-efficiency pattern recognition. However, emulating the hyperpolarized …

Recent breakthroughs in brain-inspired computing promise to address a wide range of
problems from security to healthcare. However, the current strategy of implementing artificial …

Human retina-and brain-inspired optoelectronic synapses, which integrate light detection
and signal memory functions for data processing, have significant interest because of their …