Edge AI prospect using the NeuroEdge computing system: Introducing a novel neuromorphic technology
This paper presents a test bed demonstration of NeuroEdge computing for face recognition using a novel neuromorphic chip-NM500. First, a general description and important specifications of the NM500 are presented. Second, a face recognition test-bed case study is used to demonstrate the efficacy and...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-06-01
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| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S240595952100059X |
| _version_ | 1818741407736659968 |
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| author | Cosmas Ifeanyi Nwakanma Jae-Woo Kim Jae-Min Lee Dong-Seong Kim |
| author_facet | Cosmas Ifeanyi Nwakanma Jae-Woo Kim Jae-Min Lee Dong-Seong Kim |
| author_sort | Cosmas Ifeanyi Nwakanma |
| collection | DOAJ |
| description | This paper presents a test bed demonstration of NeuroEdge computing for face recognition using a novel neuromorphic chip-NM500. First, a general description and important specifications of the NM500 are presented. Second, a face recognition test-bed case study is used to demonstrate the efficacy and efficiency of the chip. Neuromorphic technology offers scalability and consistent recognition time, which is required by real-time networked systems, and presents a considerable advantage for real-time computations, making them virtually independent of the dataset size. In this study, intelligent edge computing technology was introduced using NeuroEdge. The performance was verified using a face recognition test. The results demonstrated that using neuromorphic technology, such as the NM500 chip, saves the time needed for training systems and does not impose the burden of requiring many datasets for effective training. |
| first_indexed | 2024-12-18T01:56:08Z |
| format | Article |
| id | doaj.art-fa43b0dd311f4d59bd155ce5a7e99cff |
| institution | Directory Open Access Journal |
| issn | 2405-9595 |
| language | English |
| last_indexed | 2024-12-18T01:56:08Z |
| publishDate | 2021-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj.art-fa43b0dd311f4d59bd155ce5a7e99cff2022-12-21T21:24:54ZengElsevierICT Express2405-95952021-06-0172152157Edge AI prospect using the NeuroEdge computing system: Introducing a novel neuromorphic technologyCosmas Ifeanyi Nwakanma0Jae-Woo Kim1Jae-Min Lee2Dong-Seong Kim3Networked System Laboratory, Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Republic of KoreaNetworked System Laboratory, Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Republic of KoreaNetworked System Laboratory, Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Republic of KoreaCorresponding author.; Networked System Laboratory, Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Republic of KoreaThis paper presents a test bed demonstration of NeuroEdge computing for face recognition using a novel neuromorphic chip-NM500. First, a general description and important specifications of the NM500 are presented. Second, a face recognition test-bed case study is used to demonstrate the efficacy and efficiency of the chip. Neuromorphic technology offers scalability and consistent recognition time, which is required by real-time networked systems, and presents a considerable advantage for real-time computations, making them virtually independent of the dataset size. In this study, intelligent edge computing technology was introduced using NeuroEdge. The performance was verified using a face recognition test. The results demonstrated that using neuromorphic technology, such as the NM500 chip, saves the time needed for training systems and does not impose the burden of requiring many datasets for effective training.http://www.sciencedirect.com/science/article/pii/S240595952100059XEdge deviceEmbedded systemsEdge AINeuromorphic technologyTraining time |
| spellingShingle | Cosmas Ifeanyi Nwakanma Jae-Woo Kim Jae-Min Lee Dong-Seong Kim Edge AI prospect using the NeuroEdge computing system: Introducing a novel neuromorphic technology ICT Express Edge device Embedded systems Edge AI Neuromorphic technology Training time |
| title | Edge AI prospect using the NeuroEdge computing system: Introducing a novel neuromorphic technology |
| title_full | Edge AI prospect using the NeuroEdge computing system: Introducing a novel neuromorphic technology |
| title_fullStr | Edge AI prospect using the NeuroEdge computing system: Introducing a novel neuromorphic technology |
| title_full_unstemmed | Edge AI prospect using the NeuroEdge computing system: Introducing a novel neuromorphic technology |
| title_short | Edge AI prospect using the NeuroEdge computing system: Introducing a novel neuromorphic technology |
| title_sort | edge ai prospect using the neuroedge computing system introducing a novel neuromorphic technology |
| topic | Edge device Embedded systems Edge AI Neuromorphic technology Training time |
| url | http://www.sciencedirect.com/science/article/pii/S240595952100059X |
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