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 …

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

Emerging reconfigurable devices are fast gaining popularity in the search for next-
generation computing hardware, while ferroelectric engineering of the doping state in …

Abstract The “Internet‐of‐Things”‐based information society requires the devices to possess
high scaling capability as well as rich functionalities. Hybrid systems coupling 2D …

Ferroelectric field-effect transistors (Fe-FET) are promising candidates for future information
devices. However, they suffer from low endurance and short retention time, which retards the …

Neuromorphic visual sensory and memory systems, which can perceive, process, and
memorize optical information, represent core technology for artificial intelligence and …

In‐sensor computing with visual information, which can integrate photo‐sensing, data
storage, and computation functions within the same physical element, has promised a …

Future data-intensive applications will have integrated circuit architectures combining
energy-efficient transistors, high-density data storage and electro-optic sensing arrays in a …

With the advent of the big data era, applications are more data-centric and energy efficiency
issues caused by frequent data interactions, due to the physical separation of memory and …

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