Artificial Intelligence at the Edge - A joint European roadmap for Edge AI

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dc.contributor.authorAzzoni, Paoloen
dc.contributor.authorBierzynski, Kayen
dc.contributor.authorDaaldero, Gerardoen
dc.contributor.authorDallemagne, Philippeen
dc.contributor.authorDiaznava, Marioen
dc.contributor.authorDuranton, Marcen
dc.contributor.authorEcker, Wolfgangen
dc.contributor.authorFlak, Jaceken
dc.contributor.authorHausrotter, Andreasen
dc.contributor.authorKatkoria, Deepak V.en
dc.contributor.authorLanger, Janen
dc.contributor.authorLindgren, Andersen
dc.contributor.authorMagno, Micheleen
dc.contributor.authorMathis, Haralden
dc.contributor.authorPau, Daniloen
dc.contributor.authorPeischl, Bernharden
dc.contributor.authorPerlo, Pietroen
dc.contributor.authorSawyer, Davisen
dc.contributor.authorSeifert, Inessaen
dc.contributor.authorSolanti, Petrien
dc.contributor.authorTaube, Markusen
dc.contributor.authorTedesco, Salvatoreen
dc.contributor.authorVögel, Hans-Jörgen
dc.contributor.authorWeimer, Larsen
dc.date.accessioned2025-11-12T12:55:16Z
dc.date.available2025-11-12T12:55:16Z
dc.date.issued2025-10en
dc.description.abstractIn recent years, digitalisation, the availability of data and the possibilities for applying Artificial Intelligence (AI) have become important business drivers for Europe’s key industrial sectors. In our understanding, AI is a technical system that has the ability to mimic human intelligence, which is characterised by behaviours such as sensing, learning, understanding, decision-making and acting. Due to the availability of powerful computing hardware (graphics processing units (GPUs) and specialised architectures) and large amounts of data, AI solutions – in particular Machine Learning (ML), and more specifically Deep Learning (DL) – have found numerous and widespread applications over the last two decades (including image recognition, fault detection and automated driving functions). Low latency, privacy, connectivity limits and distributed applications have driven research in Edge AI, which enables processing and decision-making near data sources – across cloud, edge, and Internet of Things (IoT) devices. It involves training AI models in the cloud and deploying them on edge devices. In 2021, the EPoSS Edge AI Working Group published a white paper called “AI at the Edge” [1], which provided a broad overview of AI methods and techniques, together with technological milestones to guide the research and innovation over the next few years. Following the publication of this white paper, two industry associations – EPoSS and INSIDE – joined forces. The joint Edge AI Working Group is a community of hardware and software experts from industry and academia who drive research and innovation for both national and EU-funded projects, and contribute their insights and views concerning the future of Edge AI. Recent breakthroughs, and in particular in the domain of Generative AI (GenAI), have driven a clear need to revise our roadmap, including the technology milestones, to better understand and exploit the potential of GenAI in the computing continuum, including at the edge. Figure 1.1 shows how to read our refined and updated Vision.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationAzzoni, P., Bierzynski, K., Daaldero, G., Dallemagne, P., Diaznava, M., Duranton, M., Ecker, W., Flak, J., Hausrotter, A., Katkoria, D. V., Langer, J., Lindgren, A., Magno, M., Mathis, H., Pau, D., Peischl, B., Perlo, P., Sawyer, D., Seifert, I., Solanti, P., Taube, M., Tedesco, S., Vögel, H.-J. and Weimer, L. (2025) Artificial Intelligence at the edge - A joint European roadmap for Edge AI. Berlin, Germany: European Association on Smart Systems Integration, pp. 1-63. Available at: https://www.smart-systems-integration.org/app/uploads/2025/10/EPoSS-INSIDE-RoadmapEdgeAI_Oct-2025.pdf (Accessed: 12 November 2025)en
dc.identifier.endpage63en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/18198
dc.language.isoenen
dc.publisherEuropean Association on Smart Systems Integrationen
dc.relation.urihttps://www.smart-systems-integration.org/app/uploads/2025/10/EPoSS-INSIDE-RoadmapEdgeAI_Oct-2025.pdfen
dc.rights© 2025, EPoSS e. V. Permission to reproduce any text for non-commercial purposes is granted, provided that it is credited as source.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectEdge AIen
dc.subjectGenerative AI (GenAI)en
dc.subjectEPoSSen
dc.subjectINSIDEen
dc.titleArtificial Intelligence at the Edge - A joint European roadmap for Edge AIen
dc.typeBooken
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