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 …

Visuomorphic computing aims to simulate and potentially surpass the human retina by
mimicking biological visual perception with an artificial retina. Despite significant progress …

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 …

The negative photoconductance (NPC) effect, defined as an increase in resistance upon
exposure to illumination, holds great potential for application in photoelectric devices. A …

Combining the electronic properties of graphene, and molybdenum disulphide (MoS2),,, in
hybrid heterostructures offers the possibility to create devices with various functionalities …

The translation of biological synapses onto a hardware platform is an important step toward
the realization of brain‐inspired electronics. However, to mimic biological synapses, devices …

Artificial synapses with the capability of optical sensing and synaptic functions are
fundamental components to construct neuromorphic visual systems. However, most reported …

Many gadgets in our daily life work on the photodetection principle. These photodetectors
(such as silicon (Si), gallium arsenide (GaAs), and indium gallium arsenide (InGaAs)) work …

Optoelectronic devices for information storage and processing are at the heart of optical
communication technology due to their significant applications in optical recording and …

Prevailing over the bottleneck of von Neumann computing has been significant attention due
to the inevitableness of proceeding through enormous data volumes in current digital …