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 …

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

Dynamic machine vision requires recognizing the past and predicting the future of a moving
object based on present vision. Current machine vision systems accomplish this by …

The development of optoelectronic synapses can provide an important breakthrough toward
creating a sophisticated and adaptable artificial visual system analogous to that of humans …

Neuromorphic circuits emulating the bio‐brain functionality via artificial devices have
achieved a substantial scientific leap in the past decade. However, even with the advent of …

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 …

Sense digitalization, the process of transforming sensory experiences into digital data, is an
emerging research frontier that links the physical world with human perception and …

Chemical bonds, including covalent and ionic bonds, endow semiconductors with stable
electronic configurations but also impose constraints on their synthesis and lattice …

Neuromorphic electronics, which use artificial photosensitive synapses, can emulate
biological nervous systems with in-memory sensing and computing abilities. Benefiting from …