AI/Machine Learning for Internet of Dependable and Controllable Things

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dc.contributor.authorSong, Houbing
dc.date.accessioned2023-11-07T21:23:49Z
dc.date.available2023-11-07T21:23:49Z
dc.date.issued2023-10-29
dc.descriptionMM '23: The 31st ACM International Conference on Multimedia; Ottawa, ON, Canada; 29 October 2023en_US
dc.description.abstractThe Internet of Things (IoT) has the potential to enable a variety of applications and services. However, it also presents grand challenges in security, safety, and privacy. Therefore, there is a need for moving from IoT to Internet of Dependable Things, which is defined as Internet of Things which is designed, built, deployed and operated in a highly trustworthy manner, and Internet of Controllable Things, which is defined as Internet of Things which is operated in a highly controllable manner. A massive resurgence of artificial intelligence (AI) and machine learning (ML) presents tremendous opportunities for Internet of Dependable and Controllable Things and as well as significant challenges to Internet of Dependable and Controllable Things. In this lecture, I will present the state of the art by reviewing and classifying the existing literature, evaluate the opportunities and challenges, and identify trends by evaluating what needs to be done to enable AI/Machine Learning for Internet of Dependable and Controllable Things.en_US
dc.description.sponsorshipThis work was supported in part by the U.S. National Science Foundation under Grant No. 2309760 and Grant No. 2317117.en_US
dc.description.urihttps://dl.acm.org/doi/abs/10.1145/3606042.3616460en_US
dc.format.extent2 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/m2wbgc-jqeg
dc.identifier.citationSong, Houbing Herbert. “AI/Machine Learning for Internet of Dependable and Controllable Things.” In Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering, 1–2. AMC-SME ’23. New York, NY, USA: Association for Computing Machinery, 2023. https://doi.org/10.1145/3606042.3616460.en_US
dc.identifier.urihttps://doi.org/10.1145/3606042.3616460
dc.identifier.urihttp://hdl.handle.net/11603/30584
dc.language.isoen_USen_US
dc.publisherACMen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.subjectArtificial intelligenceen_US
dc.subjectMachine learningen_US
dc.subjectInternet of Thingsen_US
dc.titleAI/Machine Learning for Internet of Dependable and Controllable Thingsen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-2631-9223en_US

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