Graphene/MoS_2-xO_x/graphene photomemristor with tunable non-volatile responsivities for neuromorphic vision processing.

ABSTRACT: Conventional artificial intelligence (AI) machine vision technology, based on the von Neumann architecture, uses separate sensing, computing, and storage units to process huge amounts of vision data generated in sensory terminals. The frequent movement of redundant data between sensors, processors and memory, however, results in high-power consumption and latency. A more efficient approach is to offload some of the memory and computational tasks to sensor elements that can perceive and process the optical signal simultaneously. Here, we proposed a non-volatile photomemristor, in which the reconfigurable responsivity can be modulated by the charge and/or photon flux through it and further stored in the device. The non-volatile photomemristor has a simple two-terminal architecture, in which

SUBMITTER: Fu X 

PROVIDER: S-EPMC9905593 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature