The hardware implementation of advanced artificial intelligence (AI) technology based on
complex deep learning and machine learning algorithms is constricted by the limitation of …

Neuromorphic chips show advantages over conventional computing system based on von
Neumann architecture when dealing with complex scenes, such as artificial intelligence …

The explosively developed era of big-data compels the increasing demand of nonvolatile
memory with high efficiency and excellent storage properties. Herein, we fabricated a high …

The von Neumann bottleneck has long been a significant obstacle to the advancement of
the era of intelligent computing. Neuromorphic devices are considered a promising solution …

Being capable of dealing with both electrical signals and light, artificial optoelectronic
synapses are of great importance for neuromorphic computing and are receiving a …

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

Optoelectronic neuromorphic systems mimicking the structure and the signal processing of
biological neural systems have gained significant interest due to their potential advantages …

The von Neumann bottleneck has spawned the rapid expansion of neuromorphic
engineering and brain-like networks. Synapses serve as bridges for information …

With the merits of non-contact, highly efficient, and parallel computing, optoelectronic
synaptic devices combining sensing and memory in a single unit are promising for …

Neuromorphic electronics draw attention as innovative approaches that facilitate hardware
implementation of next‐generation artificial intelligent system including neuromorphic in …