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Artificial Intelligence for Digitizing Industry

Descrizione del progetto

Un impulso all’intelligenza artificiale per l’industria europea

L’intelligenza artificiale svolge un ruolo centrale nelle società, nelle economie e nelle industrie di tutto il mondo. Tuttavia, si registra una mancanza di integrazione dell’IA in Europa. Ne è conseguito che i potenziali utenti non hanno ricevuto un sostegno adeguato nonostante i vantaggi che potrebbe offrire in tutti i rami dell’industria e nella digitalizzazione. Il progetto AI4DI, finanziato dall’UE, mira a trasferire l’apprendimento automatico e l’intelligenza artificiale dal cloud all’industria della digitalizzazione. Utilizzerà un approccio basato su sette obiettivi chiave per valutare e migliorare la sua rilevanza in tali ambiti. Il progetto prevede di collegare fabbriche, processi e dispositivi all’interno dell’industria digitalizzata utilizzando l’apprendimento automatico e l’intelligenza artificiale. In seguito raccoglierà i dati sulle loro prestazioni.

Obiettivo

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.

Invito a presentare proposte

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

Vedi altri progetti per questo bando

Bando secondario

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

Meccanismo di finanziamento

RIA - Research and Innovation action

Coordinatore

INFINEON TECHNOLOGIES AG
Contribution nette de l'UE
€ 950 000,94
Indirizzo
AM CAMPEON 1-15
85579 Neubiberg
Germania

Mostra sulla mappa

Regione
Bayern Oberbayern München, Landkreis
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Collegamenti
Costo totale
€ 3 800 003,75

Partecipanti (50)