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HORIZON-CL4-2021-TWIN-TRA...
HORIZON-CL4-2021-TWIN-TRANSITION-01-07: Artificial Intelligence for sustainable, agile manufacturing (AI, Data and Robotics - Made in Europe Partnerships) (IA)
ExpectedOutcome:Projects are expected to contribute to the following outcomes:
Sólo fondo perdido 0 €
Europeo
Esta convocatoria está cerrada Esta línea ya está cerrada por lo que no puedes aplicar. Cerró el pasado día 23-09-2021.
Se espera una próxima convocatoria para esta ayuda, aún no está clara la fecha exacta de inicio de convocatoria.
Por suerte, hemos conseguido la lista de proyectos financiados!
Presentación: Consorcio Consorcio: Esta ayuda está diseñada para aplicar a ella en formato consorcio..
Esta ayuda financia Proyectos:

ExpectedOutcome:Projects are expected to contribute to the following outcomes:

Establishing European industry as leader in sustainable manufacturing and process industries through the application of trustworthy AI technologies;Improving the environmental sustainability of industrial production;Improving the agility of European industry and its resiliency to external and internal influences;Integrating state-of-the-art AI technologies with advanced circular manufacturing and re-manufacturing technologies and systems, exploiting their potential across the entire product and service lifecycle;
Scope:This topic focuses on manufacturing and process industries, addressing the entire lifecycle of products and services from design to remanufacturing and including all the aspects primarily relevant for industrial production. The objective is to exploit the potential of AI as a transformation tool to support circular production in the entire manufacturing and process industry, with due consideration for standardisation activities when relevant. AI will be a strategic instrument to improve sustainability, agility and resilience to external and internal influences, taking... ver más

ExpectedOutcome:Projects are expected to contribute to the following outcomes:

Establishing European industry as leader in sustainable manufacturing and process industries through the application of trustworthy AI technologies;Improving the environmental sustainability of industrial production;Improving the agility of European industry and its resiliency to external and internal influences;Integrating state-of-the-art AI technologies with advanced circular manufacturing and re-manufacturing technologies and systems, exploiting their potential across the entire product and service lifecycle;
Scope:This topic focuses on manufacturing and process industries, addressing the entire lifecycle of products and services from design to remanufacturing and including all the aspects primarily relevant for industrial production. The objective is to exploit the potential of AI as a transformation tool to support circular production in the entire manufacturing and process industry, with due consideration for standardisation activities when relevant. AI will be a strategic instrument to improve sustainability, agility and resilience to external and internal influences, taking account of the European Green Deal objectives. AI applications will be capable of optimising their actions based on limited human input, thanks to context awareness and information sensed from the physical environment, and will have the long useful lifetime typical of industrial environments.

Projects have to address the need for AI tool sets with simplified interfaces requiring only easy to acquire skills, and adapted to manufacturing environments without highly skilled personnel. Methods and tools will be provided to make AI solutions usable also for lower volume production and shorter time series, guaranteeing the quality of results even while using reduced resources for the training of AI algorithms. Generative approaches could be considered to help designing products and processes improving the sustainability of industrial solutions. The topic will integrate new or existing technologies to make them practically and economically viable in the industrial world; this should be demonstrated through at least two realistic use cases with demonstrable economic return.

Proposals submitted under this topic should include a business case and exploitation strategy, as outlined in the introduction to this Destination.

Research must build on existing standards or contribute to standardisation. Interoperability for data sharing should be addressed.

All projects should build on or seek collaboration with existing projects and develop synergies with other relevant European, national or regional initiatives, funding programmes and platforms.

This topic implements jointly the co-programmed European Partnerships Made in Europe and AI, Data and Robotics.

In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement.


Specific Topic Conditions:Activities are expected to start at TRL 4 and achieve TRL 7 by the end of the project – see General Annex B.




Cross-cutting Priorities:Socio-economic science and humanitiesCo-programmed European PartnershipsCo-programmed European Partnerships


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Temáticas Obligatorias del proyecto: Temática principal:

Características del consorcio

Ámbito Europeo : La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Tipo y tamaño de organizaciones: El diseño de consorcio necesario para la tramitación de esta ayuda necesita de:

Características del Proyecto

Requisitos de diseño: Duración:
Requisitos técnicos: ExpectedOutcome:Projects are expected to contribute to the following outcomes: ExpectedOutcome:Projects are expected to contribute to the following outcomes:
¿Quieres ejemplos? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Capítulos financiables: Los capítulos de gastos financiables para esta línea son:
Personnel costs.
Subcontracting costs.
Purchase costs.
Other cost categories.
Indirect costs.
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 6:. Representa un paso importante en demostrar la madurez de una tecnología. Se construye un prototipo de alta fidelidad que aborda adecuadamente las cuestiones críticas de escala, que opera en un entorno relevante, y que debe ser a su vez una buena representación del entorno operativo real. + info.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
Fondo perdido:
0% 25% 50% 75% 100%
Para el presupuesto subvencionable la intensidad de la ayuda en formato fondo perdido podrá alcanzar desde un 70% hasta un 100%.
The funding rate for IA projects is 70 % for profit-making legal entities and 100 % for non-profit legal entities. The funding rate for IA projects is 70 % for profit-making legal entities and 100 % for non-profit legal entities.
Garantías:
No exige Garantías
No existen condiciones financieras para el beneficiario.

Información adicional de la convocatoria

Efecto incentivador: Esta ayuda no tiene efecto incentivador. + info.
Respuesta Organismo: Se calcula que aproximadamente, la respuesta del organismo una vez tramitada la ayuda es de:
Meses de respuesta:
Muy Competitiva:
No Competitiva Competitiva Muy Competitiva
No conocemos el presupuesto total de la línea
Minimis: Esta línea de financiación NO considera una “ayuda de minimis”. Puedes consultar la normativa aquí.

Otras ventajas

Sello PYME: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.