Preprint / Version 1

Harnessing the Computing Continuum across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0

##article.authors##

  • Fatemeh Baghdadi
  • Eugenio Lomurno Politecnico di Milano https://orcid.org/0000-0003-4007-3207
  • Davide Cirillo
  • Fernando Vazquez
  • Francesc Lordan
  • Daniele Lezzi
  • Alberto Archetti
  • Danilo Ardagna
  • Matteo Matteucci

DOI:

https://doi.org/10.31224/3585

Keywords:

Artificial Intelligence, Edge Computing, Machine Learning, Personalized Healthcare, Maintenance, Inspection, Farming 4.0, Deep Learning

Abstract

The AI-SPRINT project, launched in 2021 and funded by the European Commission, focuses on the development and implementation of AI applications across the computing continuum. This continuum ensures the coherent integration of computational resources and services from centralized data centers to edge devices, facilitating efficient and adaptive computation and application delivery. AI-SPRINT has achieved significant scientific advances, including streamlined processes, improved efficiency, and the ability to operate in real time, as evidenced by three practical use cases. This paper provides an in-depth examination of these applications - Personalized Healthcare, Maintenance and Inspection, and Farming 4.0 - highlighting their practical implementation and the objectives achieved with the integration of AI-SPRINT technologies. We analyze how the proposed toolchain effectively addresses a range of challenges and refines processes, discussing its relevance and impact in multiple domains. After a comprehensive overview of the main AI-SPRINT tools used in these scenarios, the paper summarizes of the findings and key lessons learned.

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Posted

2024-03-05