Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

The performance of conventional computer based on von Neumann architecture is limited
due to the physical separation of memory and processor. By synergistically integrating …

Recently, the increasing demand for data-centric applications is driving the elimination of
image sensing, memory and computing unit interface, thus promising for latency-and energy …

Neurons of the ventral tegmental area of the brain contain single axon terminals that release
excitatory and inhibitory neurotransmitters, creating reconfigurable synaptic behaviour …

Reconfigurable phototransistor memory attracts considerable attention for adaptive
visuomorphic computing, with highly efficient sensing, memory, and processing functions …

With the development and application of artificial intelligence, there is an appeal to the
exploitation of various sensors and memories. As the most important perception of human …

Developing multifunctional and diversified artificial neural systems to integrate multimodal
plasticity, memory, and supervised learning functions is an important task toward the …

Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …

Selective attention is an efficient processing strategy to allocate computational resources for
pivotal optical information. However, the hardware implementation of selective visual …

Conventional imaging and recognition systems require an extensive amount of data storage,
pre-processing, and chip-to-chip communications as well as aberration-proof light focusing …