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

Sector: Manufacturing (Industrial) • Location: United Kingdom, Germany, Austria, Belgium, Poland, Greece, Italy, Portugal

Source: EU Funding & Tenders Portal

Project
Forthcoming

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 Generati

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The project “Generative Explainee-aware Explainability and Transparency in Proactive Cyber-Physical Eco-Environments” is an infrastructure initiative in the Manufacturing (Industrial) sector, located in United Kingdom, Germany, Austria, Belgium, Poland, Greece, Italy, Portugal. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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forthcoming

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Description

Description

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.

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100%

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