Rapid developments in the Internet of Things and Artificial Intelligence trigger higher
requirements for image perception and learning of external environments through visual …

Memristive devices are gaining importance in the semiconductor industry for applications in
information storage, artificial intelligence cryptography and telecommunication. Memristive …

The neural network image sensor—which mimics neurobiological functions of the human
retina—has recently been demonstrated to simultaneously sense and process optical …

As the most promising candidates for the implementation of in-sensor computing,
retinomorphic vision sensors can constitute built-in neural networks and directly implement …

Simultaneous implementation of photodetector and neuromorphic vision sensor (NVS) on a
single device faces a great challenge, due to the inherent speed discrepancy in their …

Image stabilization is a crucial field in machine vision, aiming to eliminate image blurring or
distortion caused by the camera or object jitter. However, traditional image stabilization …

Increasing the demand for object motion detection (OMD) requires shifts of reducing
redundancy, heightened power efficiency, and precise programming capabilities to ensure …

Cutting-edge humanoid machine vision merely mimics human systems and lacks
polarimetric functionalities that convey the information of navigation and authentic images …

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 …

The development of negative photoconductivity (NPC)-related devices is of great
significance for numerous applications, such as optoelectronic detection, neuromorphic …