RT Journal Article
T1 The many faces of edge intelligence
A1 Peltonen, Ella
A1 Ahmad, Ijaz
A1 Aral, Atakan
A1 Capobianco, Michele
A1 Ding, Aaron Yi
A1 Gil Castiñeira, Felipe Jose
A1 Gilman, Ekaterina
A1 Harjula, Erkki
A1 Jurmu, Marko
A1 Karvonen, Teemu
A1 Kelanti, Markus
A1 Leppanen, Teemu
A1 Loven, Lauri
A1 Mikkonen, Tommi
A1 Mohan, Nitinder
A1 Nurmi, Petteri
A1 Pirttikangas, Susanna
A1 Sroka, Pawel
A1 Tarkoma, Sasu
A1 Yang, Tingting
K1 1203.04 Inteligencia Artificial
AB 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.
PB IEEE Access
SN 21693536
YR 2022
FD 2022
LK http://hdl.handle.net/11093/4553
UL http://hdl.handle.net/11093/4553
LA eng
NO IEEE Access, 10, 104769-104782 (2022)
NO European Union’s Horizon 2020 research and innovation programme | Ref. 101021808
DS Investigo
RD 07-oct-2024