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Recent advances in neuromorphic transistors for artificial perception applications: FOCUS ISSUE REVIEW
Conventional von Neumann architecture is insufficient in establishing artificial intelligence (AI) in terms of energy efficiency, computing in memory and dynamic learning. Delightedly, rapid developments in neuromorphic computing provide a new paradigm to solve this dilemma. Furthermore, neuromorphi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809405/ https://www.ncbi.nlm.nih.gov/pubmed/36605031 http://dx.doi.org/10.1080/14686996.2022.2152290 |
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author | Wang, Wei Sheng Zhu, Li Qiang |
author_facet | Wang, Wei Sheng Zhu, Li Qiang |
author_sort | Wang, Wei Sheng |
collection | PubMed |
description | Conventional von Neumann architecture is insufficient in establishing artificial intelligence (AI) in terms of energy efficiency, computing in memory and dynamic learning. Delightedly, rapid developments in neuromorphic computing provide a new paradigm to solve this dilemma. Furthermore, neuromorphic devices that can realize synaptic plasticity and neuromorphic function have extraordinary significance for neuromorphic system. A three-terminal neuromorphic transistor is one of the typical representatives. In addition, human body has five senses, including vision, touch, auditory sense, olfactory sense and gustatory sense, providing abundant information for brain. Inspired by the human perception system, developments in artificial perception system will give new vitality to intelligent robots. This review discusses the operation mechanism, function and application of neuromorphic transistors. The latest progresses in artificial perception systems based on neuromorphic transistors are provided. Finally, the opportunities and challenges of artificial perception systems are summarized. |
format | Online Article Text |
id | pubmed-9809405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-98094052023-01-04 Recent advances in neuromorphic transistors for artificial perception applications: FOCUS ISSUE REVIEW Wang, Wei Sheng Zhu, Li Qiang Sci Technol Adv Mater Focus on Materials and Technologies for Memristors and Neuromorphic Devices Conventional von Neumann architecture is insufficient in establishing artificial intelligence (AI) in terms of energy efficiency, computing in memory and dynamic learning. Delightedly, rapid developments in neuromorphic computing provide a new paradigm to solve this dilemma. Furthermore, neuromorphic devices that can realize synaptic plasticity and neuromorphic function have extraordinary significance for neuromorphic system. A three-terminal neuromorphic transistor is one of the typical representatives. In addition, human body has five senses, including vision, touch, auditory sense, olfactory sense and gustatory sense, providing abundant information for brain. Inspired by the human perception system, developments in artificial perception system will give new vitality to intelligent robots. This review discusses the operation mechanism, function and application of neuromorphic transistors. The latest progresses in artificial perception systems based on neuromorphic transistors are provided. Finally, the opportunities and challenges of artificial perception systems are summarized. Taylor & Francis 2022-12-28 /pmc/articles/PMC9809405/ /pubmed/36605031 http://dx.doi.org/10.1080/14686996.2022.2152290 Text en © 2022 The Author(s). Published by National Institute for Materials Science in partnership with Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Focus on Materials and Technologies for Memristors and Neuromorphic Devices Wang, Wei Sheng Zhu, Li Qiang Recent advances in neuromorphic transistors for artificial perception applications: FOCUS ISSUE REVIEW |
title | Recent advances in neuromorphic transistors for artificial perception applications: FOCUS ISSUE REVIEW |
title_full | Recent advances in neuromorphic transistors for artificial perception applications: FOCUS ISSUE REVIEW |
title_fullStr | Recent advances in neuromorphic transistors for artificial perception applications: FOCUS ISSUE REVIEW |
title_full_unstemmed | Recent advances in neuromorphic transistors for artificial perception applications: FOCUS ISSUE REVIEW |
title_short | Recent advances in neuromorphic transistors for artificial perception applications: FOCUS ISSUE REVIEW |
title_sort | recent advances in neuromorphic transistors for artificial perception applications: focus issue review |
topic | Focus on Materials and Technologies for Memristors and Neuromorphic Devices |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809405/ https://www.ncbi.nlm.nih.gov/pubmed/36605031 http://dx.doi.org/10.1080/14686996.2022.2152290 |
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