The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …

Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL)
techniques, which rely on networks of connected simple computing units operating in …

Optoelectronic synapses integrating synaptic and optical-sensing functions exhibit large
advantages in neuromorphic computing for visual information processing and complex …

Being renowned for operating with visible‐light pulses and electrical signals, optoelectronic
memristive synaptic devices have excellent potential for neuromorphic computing systems …

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 …

It is predicted that the conventional von Neumann computing architecture cannot meet the
demands of future data‐intensive computing applications due to the bottleneck between the …

Non-volatile reconfigurable devices have the potential to improve integration levels and
lower power consumption in next-generation electronics. Two-dimensional semiconductors …

Broken-gap van der Waals (vdW) heterojunctions based on 2D materials are promising
structures to fabricate high-speed switching and low-power multifunctional devices thanks to …

Bioelectronics are powerful tools for monitoring and stimulating biological and biochemical
processes, with applications ranging from neural interface simulation to biosensing. The …

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 …