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Generative Explainee-aware Explainability and Transparency in Proactive Cyber-Physical Eco-Environments

Descrizione del progetto

Formazione per il futuro della ricerca su IA e CPS

I progressi nell’intelligenza artificiale, nei sistemi ciberfisici (CPS) e nell’ingegneria del software hanno portato a una crescente dipendenza da queste tecnologie. Con il supporto del programma di azioni Marie Skłodowska-Curie, il progetto GREET intende formare la prossima generazione di tecnologi, scienziati e imprenditori in Europa per raggiungere l’eccellenza nell’ingegneria del software, nell’intelligenza artificiale, nei CPS e nella ricerca sull’interazione cognitiva, garantendo all’Europa un ruolo di primo piano nel futuro di queste tecnologie. Il progetto creerà una rete di formazione unica ed efficiente in collaborazione con partner accademici e industriali. Combinerà attrezzature all’avanguardia e una vasta esperienza per gestire progetti che formeranno ricercatori all’inizio della loro carriera e faranno progredire i CPS basati sull’intelligenza artificiale generativa nelle dimensioni della proattività e della spiegabilità.

Obiettivo

As an interdisciplinary endeavour, the GREET network brings together leading institutions and companies in Cyber-Physical System (CPS), AI, software engineering and cognitive interaction research across Europe with the aim of training a new generation of scientists, technologists, and entrepreneurs that will move Europe into a leading role in the scientific and technological innovation in Generative AI-driven CPS, its proactivity and explainability.

Linking the leading academic and industrial partners in the above areas, GREET will form an effective and unique training network powerfully combining the best research training with a range of academic and industrial placements, specialist research and knowledge transfer workshops. It will develop and train a new generation of young researchers through a set of key research projects, developing breakthrough CPS systems and services that feature generative cognition, explainee-aware generative explainability, and transparent proactivity in highly secured CPS eco-environments.

It will shape the delivery of training in the novel generative AI-driven CPS across Europe: delivering key insights into the science and models of the proposed CPS, setting up its scientific foundation, and equipping the DN’s recruited Doctoral Candidates with skills to drive the next innovative steps in this key area of generative AI-driven CPS. These steps include building a sustainable innovation ecosphere and community, disseminating and exploiting this new CPS’s learning and understanding of the eco-internals, eco-surroundings and eco-dynamics in many vital societal and economic services, including Industry 5.0 smart city, healthcare, energy, emergency handling, social robotics and elderly care. The innovation perspective of these new CPS is substantial, which will be particularly important for handling services that involve humans and in critical situations, e.g. in emergency and hazardous environments.

Campo scientifico (EuroSciVoc)

Programma(i)

Argomento(i)

Meccanismo di finanziamento

HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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(si apre in una nuova finestra) HORIZON-MSCA-2024-DN-01

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Coordinatore

EDINBURGH NAPIER UNIVERSITY
Contributo netto dell'UE
€ 1 046 214,36
Indirizzo
COLINTON ROAD 219
EH14 1DJ Edinburgh
Regno Unito
Regione
Scotland Eastern Scotland Edinburgh
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
Nessun dato

Partecipanti (8)

Partner (4)