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作 者:Guangdi Feng Xiaoxu Zhang Bobo Tian Chungang Duan
机构地区:[1]Key Laboratory of Polar Materials and Devices(MOE),Ministry of Education,Shanghai Center of Brain-inspired Intelligent Materials and Devices,Department of Electronics,East China Normal University,Shanghai,the People's Republic of China [2]Zhejiang Lab,Hangzhou,the People's Republic of China [3]Collaborative Innovation Center of Extreme Optics,Shanxi University,Shanxi,the People's Republic of China
出 处:《InfoMat》2023年第9期1-25,共25页信息材料(英文)
基 金:supported by National Key Research and Development Program of China(2021YFA1200700);The National Natural Science Foundation of China(No.T2222025 and 62174053);Open Research Projects of Zhejiang Lab(2021MD0AB03),Shanghai Science and Technology Innovation Action Plan(21JC1402000 and 21520714100);the Fundamental Research Funds for the Central Universities.The authors would like to express their gratitude to EditSprings(https://www.editsprings.cn)for the expert linguistic services provided.
摘 要:Rapid developments in the Internet of Things and Artificial Intelligence trigger higher requirements for image perception and learning of external environments through visual systems.However,limited by von Neumann's bottleneck,the physical separation of sense,memory,and processing units in a conventional personal computer-based vision system tend to consume a significant amount of energy,time latency,and additional hardware costs.By integrating computational tasks of multiple functionalities into the sensors themselves,the emerging bio-inspired neuromorphic visual systems provide an opportunity to overcome these limitations.With high speed,ultralow power and strong adaptability,it is highly desirable to develop a neuromorphic vision system that is based on highly precise in-sensor computing devices,namely retinomorphic devices.We here present a timely review of retinomorphic devices for visual in-sensor computing.We begin with several types of physical mechanisms of photoelectric sensors that can be constructed for artificial vision.The potential applications of retinomorphic hardware are,thereafter,thoroughly summarized.We also highlight the possible strategies to existing challenges and give a brief perspective of retinomorphic architecture for in-sensor computing.
关 键 词:FERROELECTRIC in-sensor computing photogating retinomorphic device
分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置]
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