Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives

In this paper, we aim to envision 6G convergent terrestrial and non-terrestrial infrastructure of virtual emotion and epidemic prevention with two differential perspectives: Green AI and Red AI, where Green AI focuses on efficiency and reduction, and Red AI additionally pursues accuracy. By fitting...

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Autores principales: Kim, Hyunbum, Ben-Othman, Jalel, Mokdad, Lynda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863376/
https://www.ncbi.nlm.nih.gov/pubmed/36679609
http://dx.doi.org/10.3390/s23020806
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author Kim, Hyunbum
Ben-Othman, Jalel
Mokdad, Lynda
author_facet Kim, Hyunbum
Ben-Othman, Jalel
Mokdad, Lynda
author_sort Kim, Hyunbum
collection PubMed
description In this paper, we aim to envision 6G convergent terrestrial and non-terrestrial infrastructure of virtual emotion and epidemic prevention with two differential perspectives: Green AI and Red AI, where Green AI focuses on efficiency and reduction, and Red AI additionally pursues accuracy. By fitting with each perspective, we introduce promising key applications using smart devices, autonomous UAVs, mobile robots and subsequently suggest critical future research directions and opportunities toward new frontiers in intelligent terrestrial and non-terrestrial vehicular networks.
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spelling pubmed-98633762023-01-22 Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives Kim, Hyunbum Ben-Othman, Jalel Mokdad, Lynda Sensors (Basel) Article In this paper, we aim to envision 6G convergent terrestrial and non-terrestrial infrastructure of virtual emotion and epidemic prevention with two differential perspectives: Green AI and Red AI, where Green AI focuses on efficiency and reduction, and Red AI additionally pursues accuracy. By fitting with each perspective, we introduce promising key applications using smart devices, autonomous UAVs, mobile robots and subsequently suggest critical future research directions and opportunities toward new frontiers in intelligent terrestrial and non-terrestrial vehicular networks. MDPI 2023-01-10 /pmc/articles/PMC9863376/ /pubmed/36679609 http://dx.doi.org/10.3390/s23020806 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Hyunbum
Ben-Othman, Jalel
Mokdad, Lynda
Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives
title Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives
title_full Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives
title_fullStr Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives
title_full_unstemmed Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives
title_short Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives
title_sort intelligent terrestrial and non-terrestrial vehicular networks with green ai and red ai perspectives
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863376/
https://www.ncbi.nlm.nih.gov/pubmed/36679609
http://dx.doi.org/10.3390/s23020806
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