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Claudio Savaglio, Giovanni Ciatto, Andrea Omicini, Giancarlo Fortino

Claudio Savaglio, Giancarlo Fortino, Giovanni Ciatto, Andrea Omicini (eds.)
“AI&IoT 2019 – Artificial Intelligence and Internet of Things 2019”, pages i
CEUR Workshop Proceedings 2502
Sun SITE Central Europe, RWTH Aachen University
November 2019

The Internet of Things (IoT) is expected to reach its full potential through actually intelligent and autonomous cyber-physical devices and systems. Along this line, Artificial Intelligence (AI) is likely to be the best source of resources – such as algorithms, technologies, methodologies, and paradigms – enabling the development of next-generation “smart” devices and systems. In fact, the “IoT-AI” combination let us envision a cyber- physical scenario where devices compute while opportunistically interacting with each other, with human users, and with their surrounding environments in a dynamic, adaptive, and cognitive way.

It is reasonable to expect that great benefits for the IoT can emerge by combining the whole spectrum of AI techniques with the various approaches used in the IoT to distribute data and computation and to exploit the interaction between multiple devices. For this reason, the AI&IoT Workshop aims to explore not only the adaptation of existing AI techniques to the IoT context, but also new specific and original approaches for the development of intelligent IoT ecosystems as well as new business models and relevant experiences from successful smart applications.

(keywords) Artificial Intelligence; Internet of Things

Journals & Series

Events

  • 1st Workshop "AI & IoT" @ AI*IA 2019 (AI&IoT 2019) — 22/11/2019

Publication

— authors

Claudio Savaglio, Giovanni Ciatto, Andrea Omicini, Giancarlo Fortino

— editors

Claudio Savaglio, Giancarlo Fortino, Giovanni Ciatto, Andrea Omicini

— status

published

— sort

paper in proceedings

— publication date

November 2019

— volume

AI&IoT 2019 – Artificial Intelligence and Internet of Things 2019

— series

CEUR Workshop Proceedings

— volume

2502

— pages

i

URLs

original PDF

identifiers

— IRIS

11585/707353

— Scopus

2-s2.0-85075928953

— print ISSN

1613-0073

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