Neuromorphic photonics system based on the principle of biological brain is emerging as
one of the potential solutions to the bottleneck inherent in classical von Neumann computing …

Molybdenum disulfide (MoS2) is a widely used optoelectronic material with exceptional
electrical, magnetic, optical, and mechanical properties. Due to the quantum confinement …

Neuromorphic visual systems emulating biological retina functionalities have enormous
potential for in-sensor computing, with prospects of making artificial intelligence ubiquitous …

Photodetectors and optoelectronic synapses are vital for construction of artificial visual
perception system. However, the hardware implementations of optoelectronic-neuromorphic …

Neuromorphic engineering, a methodology for emulating synaptic functions or neural
systems, has attracted tremendous attention for achieving next-generation artificial …

Miniaturization and energy consumption by computational systems remain major challenges
to address. Optoelectronics based synaptic and light sensing provide an exciting platform for …

The memristor is a foundational device for an artificial synapse, which is essential to realize
next-generation neuromorphic computing. Herein, an optoelectronic memristor based on a …

Rapid developments in artificial neural network techniques and retina-inspired artificial
visual systems are required to realize the sensing, processing, and memorization of an …

Neuromorphic computing can process large amounts of information in parallel and provides
a powerful tool to solve the von Neumann bottleneck. Constructing an artificial neural …

The number of sensory nodes in the Internet of everything continues to increase rapidly and
generate massive data. The generated information from sensory nodes is much larger than …