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dc.contributor.authorCorcoran, Peter
dc.contributor.authorLemley, Joseph
dc.contributor.authorCostache, Claudia
dc.contributor.authorVarkarakis, Viktor
dc.date.accessioned2019-10-03T08:59:53Z
dc.date.available2019-10-03T08:59:53Z
dc.date.issued2019-09-02
dc.identifier.citationCorcoran, P., Lemley, J., Costache, C., & Varkarakis, V. (2019). Deep Learning for Consumer Devices and Services 2—AI Gets Embedded at the Edge. IEEE Consumer Electronics Magazine, 8(5), 10-19. doi: 10.1109/MCE.2019.2923042en_IE
dc.identifier.issn2162-2248
dc.identifier.urihttp://hdl.handle.net/10379/15482
dc.description.abstractThe recent explosive growth of deep learning is enabling a new generation of intelligent consumer devices. Specialized deep learning inference now provides data analysis capabilities that once required an active cloud connection, while reducing latency and enhancing data privacy. This paper addresses current progress in Edge artificial intelligence (AI) technology in several consumer contexts including privacy, biometrics, eye gaze, driver monitoring systems, and more. New developments and challenges in edge hardware and emerging opportunities are identified. Our previous article, "Deep learning for consumer devices and services," introduced many of the basics of deep learning and AI. In this paper, we explore the current paradigm shift of AI from the data center into CE devices-"Edge-AI."en_IE
dc.description.sponsorshipThis work was supported in part by the SFI Strategic Partnership Program by Science Foundation Ireland and FotoNation, Ltd., under Project 13/SPP/I2868 on Next Generation Imaging for Smartphone and Embedded Platforms, and in part by an Irish Research Council Employment-Based Programme Award under Project EBPPG/2016/280.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherIEEEen_IE
dc.relation.ispartofIEEE Consumer Electronics Magazineen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectLIVENESS DETECTIONen_IE
dc.subjectFEATURESen_IE
dc.subjectAUTHENTICATIONen_IE
dc.subjectSEGMENTATIONen_IE
dc.subjectPERFORMANCEen_IE
dc.subjectGENERATIONen_IE
dc.subjectBIOMETRICSen_IE
dc.subjectINTERNETen_IE
dc.subjectNETWORKen_IE
dc.subjectTHINGSen_IE
dc.titleDeep learning for consumer devices and services 2-AI gets embedded at the edgeen_IE
dc.typeArticleen_IE
dc.date.updated2019-09-29T12:39:52Z
dc.identifier.doi10.1109/MCE.2019.2923042
dc.local.publishedsourcehttps://dx.doi.org/10.1109/MCE.2019.2923042en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderFotoNation, Ltden_IE
dc.contributor.funderIrish Research Councilen_IE
dc.internal.rssid17709402
dc.local.contactPeter Corcoran, Electrical & Electronic Eng, Room 3041, Engineering Building, Nui Galway. 2764 Email: peter.corcoran@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Strategic Partnership Programme/13/SPP/I2868/IE/Next Generation Imaging for Smartphone and Embedded Platforms/en_IE
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland