摘要
Conventional artificial intelligence(Al)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 photoexcited carriers and oxygen-related ions are coupled,leading to a displaced and pinched hysteresis in the current-voltage characteristics.For the frst time,non-volatile photomemristors implement computationally complete logic with photoresponse-stateful operations,for which the same photomemristor serves as both a logic gate and memory,using photoresponse as a physical state variable instead of light,voltage and memresistance.The polarity reversal of photomemristors shows great potential for in-memory sensing and computing with feature extraction and image recognition for neuromorphic vision.
基金
This work was financially supported by National Key Research and Development Program of China(Grant No.2021YFA0715602)
the National Natural Science Foundation of China(Grant Nos.62261136552,62005303,62134001,62104053,61973294)
the Ministry of Science and Higher Education of the Russian Federation(Project No.075-15-2020-791)
Science and Technology Commission of Shanghai Municipality(21JC1406100,21YF1454700)
Anhui Provincial Key R&D Program(2022i01020020)
Hangzhou Key Research and Development Program of China(Grant No.20212013B01)
Open Research Projects of Zhejiang Lab(Grant No.2022NKOAB01)
the Fund of SITP Innovation Foundation(Grant No.CX-401).