Neuromorphic computing offers the opportunity to curtail the huge energy demands of
modern artificial intelligence (AI) applications by implementing computations into new, brain …

The booming development of artificial intelligence (AI) requires faster physical processing
units as well as more efficient algorithms. Recently, reservoir computing (RC) has emerged …

Parallel perception of visual motion is of crucial significance to the development of an
intelligent machine vision system. However, implementing in-sensor parallel visual motion …

Optoelectronic synapses, leveraging the integration of classic photo-electric effect with
synaptic plasticity, are emerging as building blocks for artificial vision and photonic …

Molecule-based reservoir computing (RC) is promising for achieving low power
consumption neuromorphic computing, although the information-processing capability of …

In-sensor computing, which integrates sensing, memory and processing functions, has
shown substantial potential in artificial vision systems. However, large-scale monolithic …

Organic ion‐gated transistors (OIGTs) demonstrate commendable performance for versatile
neuromorphic systems. However, due to the fragility of organic materials to organic solvents …

Reservoir computing has attracted considerable attention due to its low training cost.
However, existing neuromorphic hardware, focusing mainly on shallow-reservoir computing …

Wearable visual bionic devices, fueled by advancements in artificial intelligence, are making
remarkable progress. However, traditional silicon vision chips often grapple with high …

Sensing technology is an important aspect of information processing. Current development
in artificial intelligence systems (especially those aimed at medical and environmental …