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.
Objective
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).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been validated by the project's team.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been validated by the project's team.
- natural sciences computer and information sciences artificial intelligence
- natural sciences computer and information sciences data science big data
- engineering and technology environmental engineering mining and mineral processing
- engineering and technology materials engineering metallurgy
- natural sciences chemical sciences
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.1 - Manufacturing Technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-IA - HORIZON Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL4-2021-TWIN-TRANSITION-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
47151 BOECILLO
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.