Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138149
Title: Artificial sensory memory
Authors: Wan, Changjin
Cai, Pingqiang
Wang, Ming
Qian, Yan
Huang, Wei
Chen, Xiaodong
Keywords: Engineering::Materials
Issue Date: 2020
Source: Wan, C., Cai, P., Wang, M., Qian, Y., Huang, W., & Chen, X. (2020). Artificial Sensory Memory. Advanced Materials, 32(15), 1902434-. doi:10.1002/adma.201902434
Journal: Advanced Materials 
Abstract: Sensory memory, formed at the beginning while perceiving and interacting with the environment, is considered a primary source of intelligence. Transferring such biological concepts into electronic implementation aims at achieving perceptual intelligence, which would profoundly advance a broad spectrum of applications, such as prosthetics, robotics, and cyborg systems. Here, the recent developments in the design and fabrication of artificial sensory memory devices are summarized and their applications in recognition, manipulation, and learning are highlighted. The emergence of such devices benefits from recent progress in both bioinspired sensing and neuromorphic engineering technologies and derives from abundant inspiration and benchmarks from an improved understanding of biological sensory processing. Increasing attention to this area would offer unprecedented opportunities toward new hardware architecture of artificial intelligence, which could extend the capabilities of digital systems with emotional/psychological attributes. Pending challenges are also addressed to aspects such as integration level, energy efficiency, and functionality, which would undoubtedly shed light on the future development of translational implementations.
URI: https://hdl.handle.net/10356/138149
ISSN: 0935-9648
DOI: 10.1002/adma.201902434
Schools: School of Materials Science and Engineering 
Organisations: Innovative Center for Flexible Devices 
Max Planck – NTU Joint Lab for Artificial Senses 
Rights: This is the peer reviewed version of the following article: Wan, C., Cai, P., Wang, M., Qian, Y., Huang, W., & Chen, X. (2020). Artificial Sensory Memory. Advanced Materials, 32(15), 1902434-, which has been published in final form at http://doi.org/10.1002/adma.201902434. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles

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