Artificial retina technologies aim to restore visual function by mimicking the natural
processes of the eye. These biomimetic devices can convert light into electrical signals that …

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 …

In-sensor processing, which can reduce the energy and hardware burden for many machine
vision applications, is currently lacking in state-of-the-art active pixel sensor (APS) …

Multisensory integration is a salient feature of the brain which enables better and faster
responses in comparison to unisensory integration, especially when the unisensory cues …

In the field of semiconductors, three-dimensional (3D) integration not only enables
packaging of more devices per unit area, referred to as 'More Moore'but also introduces …

Infrared machine vision system for object perception and recognition is becoming
increasingly important in the Internet of Things era. However, the current system suffers from …

Bayesian networks (BNs) find widespread application in many real-world probabilistic
problems including diagnostics, forecasting, computer vision, etc. The basic computing …

With continuous size scaling, the surface dangling bonds and short‐channel effects will
degrade silicon based transistor performance. Thus, it is of great importance to seek new …

Artificial neural networks have demonstrated superiority over traditional computing
architectures in tasks such as pattern classification and learning. However, they do not …

Despite over a decade of intense research efforts, the full potential of two-dimensional
transition-metal dichalcogenides continues to be limited by major challenges. The lack of …