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s-X-AIPI

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self X Artificial Intelligence for European Process Industry digital transformat...

self X Artificial Intelligence for European Process Industry digital transformation 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-improvin... see more

30/04/2025

CARTIF

6M€

Project Budget: 6M€

Project leader

FUNDACION CARTIF No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 17M€

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 15 Participantes

Financing granted El organismo HORIZON EUROPE notifico la concesión del proyecto The day 2025-04-30

HORIZON-CL4-2021-TWIN-TRANSITION-01-07: Artificial Intelligence for sustain... ExpectedOutcome:Projects are expected to contribute to the following outcomes:

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

15 Participantes

CARTIF

625.00K€ | Leader

CORE IC

388.63K€ | participant

EIFFAGE INFRAESTRUCTURAS

219.80K€ | participant

BODEGAS DEL MEDIEVO,

229.43K€ | participant

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Project duration: 35 months Date Start: 2022-05-18
End date: 2025-04-30

Project leader

FUNDACION CARTIF No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 17M€

Project Budget 6M€

participation deadline Sin fecha límite de participación.

Project description 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).

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