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Artificial Intelligence for Digitizing Industry

Descripción del proyecto

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La inteligencia artificial impulsa a la industria europea

La inteligencia artificial (IA) tiene un papel fundamental en las sociedades, las economías y las industrias de todo el mundo. Sin embargo, la IA no se ha integrado por completo en Europa. Como resultado, los usuarios potenciales no cuentan con un apoyo suficiente, a pesar de las ventajas que puede ofrecer a todas las ramas de la industria y su digitalización. El proyecto AI4DI, financiado con fondos europeos, tiene por objeto transferir al aprendizaje automático y la IA de la nube al sector de la digitalización. Aplicará un enfoque de siete objetivos clave para evaluar y mejorar su eficacia en el sector. El proyecto prevé conectar fábricas, procesos y dispositivos en el sector digitalizado mediante aprendizaje automático e inteligencia artificial. Posteriormente, recopilara datos sobre su rendimiento.

Objetivo

Europe has a lack of intellectual property in integrating artificial intelligence (AI) into digital applications. This is critical since the automatization reached saturated levels and AI in digitisation is an accepted approach for the upcoming transformation of the European industry. The potential of AI in economy and society is by far not enough exploited. Potential users of AI are not sufficiently supported to facilitate the integration of AI into their applications. Enabling of performance, industry and humanity by AI for digitising industry is the key to push the AI revolution in Europe and step into the digital age. Existing services providing state of the art machine learning (ML) and artificial intelligence solutions are currently available in the cloud. In this project, we aim to transfer machine learning and AI from the cloud to the edge in manufacturing, mobility and robotics. To achieve these targets we connect factories, processes, and devices within digitised industry by utilizing ML and AI for human machine collaboration, change detection, and detection of abnormalities. Hence, we gain knowledge by using existing data and arrange them into a processable representation or collect new data. We use this knowledge to change the semantics and the logical layer with a distributed system intelligence for e.g. quality control, production optimization. In AI4DI, we define a 7-key-target-approach to evaluate the relevance of AI methods within digitised industry. Each key target represents a field of activity and the corresponding target at the same time, dividing systems into heterogenous and homogenous systems, and evolving a common AI method understanding for these systems as well as for human machine collaboration. Furthermore, we investigate, develop and apply AI tools for change detection and distributed system intelligence, and develop hardware and software modules as internet of things (IoT) devices for sensing, actuating, and connectivity processing.

Ámbito científico

Palabras clave

Programa(s)

Tema(s)

Convocatoria de propuestas

H2020-ECSEL-2018-2-RIA-two-stage

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Convocatoria de subcontratación

H2020-ECSEL-2018-2-RIA-two-stage-1

Régimen de financiación

RIA - Research and Innovation action

Coordinador

INFINEON TECHNOLOGIES AG
Aportación neta de la UEn
€ 950 000,94
Dirección
AM CAMPEON 1-15
85579 Neubiberg
Alemania

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Región
Bayern Oberbayern München, Landkreis
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Enlaces
Coste total
€ 3 800 003,75

Participantes (50)

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Última actualización: 11 Diciembre 2023

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Permalink: https://cordis.europa.eu/project/id/826060/es

European Union, 2024