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self-X Artificial Intelligence for European Process Industry digital transformation

Project description

AI technology toolset for Europe’s process industry

AI applications could greatly contribute to European integration into the circular manufacturing economy ecosystem. They have the potential to make the process industry’s procedures and products more agile and resilient. The EU-funded s-X-AIPI project aims to study, build, trial and demonstrate in the asphalt, steel, aluminium and pharmaceutical sectors a novel suite of tailored, reliable AI technologies. Thanks to the open-source toolset, the process industries will be able to make operations more agile while improving performance across several indicators. The AI-based sustainability tools will enable them to better design, develop, engineer, operate and monitor plants, products and value chains.


The overall objective of s-X-AIPI is to research, develop, test and experiment an innovative toolset of custom trustworthy self-X AI technologies (autonomous AI that minimizes human involvement in the loop an exhibit self-improving abilities). AI applications will help workers to deal with external and internal influences and enable agile and resilient reaction of European process industry processes and products? lifecycle for a true integration into the circular manufacturing economy ecosystem.
The aim is to provide existing process industries and its workers with agility of operation, improvement of performance across different indicators and state of the art AI-based sustainability tools for the design, development, engineering, operation and monitoring of their plants, products and value chains.
Demonstration at four representative industrial use cases (asphalt, steel, aluminium and pharmaceutics) will generate a showcase portfolio of trustworthy AI technologies (data sets, AI model and applications) integrated into an innovative open source toolset available for industry and research as an example of self-X AI technologies integrated in actual process industries? value chains.
s-X-AIPI toolset of AI technologies will include an innovative AI data pipeline with autonomic computing capabilities (self-X AI and autonomic manager), architecture, realistic datasets together with their respective algorithms derived from the demonstration in four realistic use cases of process industry. s-X-AIPI technologies will consider workers? heterogeneous skill levels and self-adaptation capabilities to the actual profile of the worker respecting their human-in-the-loop role.
s-X-AIPI will be performed by an interdisciplinary consortium (AI integration and Big Data analytics, use case process understanding, modelling and digital platforms, research, industry, SME [4 companies, 1 industrial], communication, exploitation, standardisation).


Net EU contribution
€ 625 000,00
Pq tecnologico boecillo 205
47151 Boecillo

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Centro (ES) Castilla y León Valladolid
Activity type
Research Organisations
Other funding
€ 0,00

Participants (14)