A grand family of two-dimensional (2D) materials and their heterostructures have been
discovered through the extensive experimental and theoretical efforts of chemists, material …

The performance of conventional computer based on von Neumann architecture is limited
due to the physical separation of memory and processor. By synergistically integrating …

Developing multifunctional and diversified artificial neural systems to integrate multimodal
plasticity, memory, and supervised learning functions is an important task toward the …

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

Optoelectronic synapses integrating synaptic and optical-sensing functions exhibit large
advantages in neuromorphic computing for visual information processing and complex …

Simulating biological synapses with electronic devices is a re‐emerging field of research. It
is widely recognized as the first step in hardware building brain‐like computers and artificial …

Optoelectronic synaptic devices, which combine the functions of photosensitivity and
information processing, are essential for the development of artificial visual perception …

Imprinting vision as memory is a core attribute of human cognitive learning. Fundamental to
artificial intelligence systems are bioinspired neuromorphic vision components for the visible …

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

Neuromorphic visual systems emulating biological retina functionalities have enormous
potential for in-sensor computing, with prospects of making artificial intelligence ubiquitous …