Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Artificial synapses can boost neuromorphic computing to overcome the inherent limitations
of von Neumann architecture. As a promising memristor candidate, ferroelectric tunnel …

Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …

Optoelectronic synaptic transistors with hybrid heterostructure channels have been
extensively developed to construct artificial visual systems, inspired by the human visual …

Optoelectronic synapses can perceive and memorize visual information, making them
appealing for future bionic eyes or vision automation. Organic field-effect transistors are a …

Nowadays the development of machine vision is oriented toward real-time applications such
as autonomous driving. This demands a hardware solution with low latency, high energy …

Organic–inorganic mixed halide perovskites have emerged as an excellent class of
materials with a unique combination of optoelectronic properties, suitable for a plethora of …

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

Emerging flexible artificial sensory systems using neuromorphic electronics have been
considered as a promising solution for processing massive data with low power …