A collaborative project has made a breakthrough in enhancing the speed and resolution of widefield quantum sensing, leading to new opportunities in scientific research and practical applications. By ...

Combining multiple functionalities within a single optoelectronic device is key for achieving fast and energy efficient signal processing, whereby in-device neuromorphic computing strategies can be ...

Artificial visual systems show great promise for perceiving complex and dynamic tasks in real world environments. Inspired by biological vision where neurons fire in response to stimuli, neuromorphic ...

Modern artificial intelligence systems rely on moving large amounts of data between memory and processors, a design that ...

(Nanowerk Spotlight) Humans effortlessly make sense of the visual world despite the fragmented mess of light that strikes the retina. Identifying objects, interpreting scenes, and recognizing faces ...

A layered transistor design combines light detection optical memory and neuromorphic processing in one unit offering compact and efficient artificial vision hardware. (Nanowerk Spotlight) Artificial ...

As computer vision (CV) systems become increasingly power and memory intensive, they become unsuitable for high-speed and resource deficit edge applications - such as hypersonic missile tracking and ...

A research team led by Professor Jia Pan and Professor Yifan Evan Peng from the Department of Computer Science and Department of Electrical & Electronic Engineering under the Faculty of Engineering at ...

The latest research progress in the field of MXene-based neuromorphic computing is reviewed. The design strategy of MXene-based neuromorphic devices encompasses multiple factors are summarized, ...

A research team has recently developed a groundbreaking neuromorphic exposure control (NEC) system that revolutionizes machine vision under extreme lighting variations. This biologically inspired ...