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 …

Many in-memory computing frameworks demand electronic devices with specific switching
characteristics to achieve the desired level of computational complexity. Existing memristive …

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

Skin is the largest organ, with the functionalities of protection, regulation, and sensation. The
emulation of human skin via flexible and stretchable electronics gives rise to electronic skin …

Exploration of optoelectronic memristors with the capability to combine sensing and
processing functions is required to promote development of efficient neuromorphic vision. In …

Simulating biological synaptic functionalities through artificial synaptic devices opens up an
innovative way to overcome the von Neumann bottleneck at the device level. Artificial …

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 …

Artificial visual system with information sensing, processing, and memory function is
promoting the development of artificial intelligence techniques. Photonic synapse as an …