A secure and reusable Artificial Intelligence platform for Edge computing in beyond 5G Networks

Informazioni relative al progetto

AIatEDGE

ID dell’accordo di sovvenzione: 101015922

DOI

10.3030/101015922

Progetto chiuso

Data della firma CE 8 Dicembre 2020

Data di avvio 1 Gennaio 2021

Data di completamento 31 Dicembre 2023

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Costo totale

€ 8 001 247,50

Contributo UE

€ 8 001 247,50

Coordinato da

FONDAZIONE BRUNO KESSLER
Italy

Periodic Reporting for period 2 - AIatEDGE (A secure and reusable Artificial Intelligence platform for Edge computing in beyond 5G Networks)

Periodo di rendicontazione: 2022-07-01 al 2023-12-31

Sintesi del contesto e degli obiettivi generali del progetto

Our vision is that Artificial Intelligent Systems are irreversibly set on the evolutionary path of every future vertical as well as of every object and service we humans will interact with in the near future. This trend is motivated by the need to support elastic and demanding real-world use cases such as automated and cooperative mobility, e-health, gaming, entertainment, etc. For this reason, in AI@EDGE we leveraged the concept of reusable, secure, and trustworthy AI for network automation to achieve an EU-wide impact on industry-relevant aspects of the in multi-stakeholders’ environments.

Lavoro eseguito dall’inizio del progetto fino alla fine del periodo coperto dalla relazione e principali risultati finora ottenuti

AI@EDGE approach to answer the above-mentioned challenges has two lines of action. First, we designed, prototyped, and validated a network and service automation platform capable of supporting flexible and programmable pipelines for the creation, utilization, and adaptation of secure and privacy-aware AI/ML models. Second, we used this network and service automation platform to orchestrate AI-enabled end-to-end applications. Here, we introduced the novel concept of Artificial Intelligence Functions (AIFs) to refer to the AI-enabled end-to-end applications sub-components that can be deployed across the AI@EDGE platform.

Progressi oltre lo stato dell’arte e potenziale impatto previsto (incluso l’impatto socioeconomico e le implicazioni sociali più ampie del progetto fino ad ora)

The AI@EDGE project aims to advance the integration of Artificial Intelligent Systems into various sectors, envisioning their widespread application across verticals such as automated mobility, e-health, gaming, entertainment, and more. The project focuses on creating a reusable, secure, and trustworthy AI framework for network automation, with a particular emphasis on addressing the needs of multi-stakeholder environments.
Deliverable D2.4 of the AI@EDGE project is a comprehensive examination that assesses the project's technical Key Performance Indicators (KPIs) and explores its socio-economic and techno-economic impacts. The document is strategically structured to seamlessly integrate these critical aspects, providing a detailed understanding of the multifaceted impact of the AI@EDGE project.
Deliverable D2.4 sets the stage for the exploration of KPIs and broader impacts (including social), offering a clear overview and easing readers into the subsequent detailed sections. A techno-economic analysis balancing technical advancements with economic implications is followed by an analysis of the socio-economic impact of the project. This part if particularly focused on exploring broader societal implications, especially the project’s contribution to Sustainable Development Goals (SDGs).
Throughout the project, Sustainable Development Goals (SDGs) are a recurring theme, reflecting the commitment to integrating global sustainability efforts into technological advancements. Aligning with these goals underscores dedication not only to technological excellence but also to making a positive impact on society and the environment.

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