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Multifunctional neurosynaptic devices for human perception systems

Wei Wen, Yunlong Guo, Yunqi Liu

Year
2022
Citations
11

Abstract

Abstract The traditional Von Neumann architecture for processing information is difficult to meet the needs of the big data era, while low-power, small-sized neurosynaptic devices can operate and store information, so that they have received extensive attention. Due to the development of artificial intelligence and robotics, neurosynaptic devices have been given high expectations and requirements. The trend of functionalization, intelligence, and integration of computing and storage is obvious. In this review, the basic principles and types of neurosynaptic devices are summarized, the achievements of neurosynaptic devices for human perception systems are discussed and a prospect on the development trend is also given.

Keywords

Von Neumann architecturePerceptionComputer scienceArchitectureRoboticsArtificial intelligenceBig dataInformation processingHuman–computer interactionData science

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