The many faces of edge intelligence

Peltonen, Ella; Ahmad, Ijaz; Aral, Atakan; Capobianco, Michele; Ding, Aaron Yi; Gil Castiñeira, Felipe Jose; Gilman, Ekaterina; Harjula, Erkki; Jurmu, Marko; Karvonen, Teemu; Kelanti, Markus; Leppanen, Teemu; Loven, Lauri; Mikkonen, Tommi; Mohan, Nitinder; Nurmi, Petteri; Pirttikangas, Susanna; Sroka, Pawel; Tarkoma, Sasu; Yang, Tingting

doi:10.1109/ACCESS.2022.3210584

DATE: 2022

UNIVERSAL IDENTIFIER: http://hdl.handle.net/11093/4553

EDITED VERSION: https://ieeexplore.ieee.org/document/9905603/

UNESCO SUBJECT: 1203.04 Inteligencia Artificial

DOCUMENT TYPE: article

ABSTRACT

Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as an emerging and important field of research, discuss the state of research, analyze research gaps and highlight important research challenges with the objective of serving as a catalyst for research and innovation in this emerging area. We take a multidisciplinary view to reflect on the current research in AI, edge computing, and communication technologies, and we analyze how EI reflects on existing research in these fields. We also introduce representative examples of application areas that benefit from, or even demand the use of EI.

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