Abstract
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-keytarget- 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.
Project details
Unibo Team Leader: Luca Benini
Unibo involved Department/s:
Centro di Ricerca sui Sistemi Elettronici per l'Ingegneria dell'Informazione e delle Telecomunicazioni "Ercole De Castro" - ARCES (Advanced Research Center on Electronic System)
Coordinator:
Infineon Technologies Ag(Germany)
Other Participants:
Nxtech As
(Norway)
Denofa AS
(Norway)
Avl List Gmbh
(Austria)
Stmicroelectronics (Grenoble2) Sas
(France)
Fraunhofer Ipa
(Germany)
Information Technology For Market Leadership
(Greece)
iGlobalTracking AS
(Norway)
Cea-Commissariat A L'Energie Atomique Et Aux Energies Alternatives
(France)
Symate GmbH
(Germany)
Cognition Factory Gmbh
(Germany)
Scm Group S.P.A.
(Italy)
Virtual Vehicle Research Gmbh - Vif
(Austria)
Technische Universitaet Graz
(Austria)
Vysoke Uceni Technicke V Brne-Technical University Of Brno
(Czech Republic)
Technext
(France)
Consorzio Nazionale Interuniversitario Per La Nanoelettronica
(Italy)
Elektronikas Un Datorzinatnu Instituts
(Latvia)
Imec
(Belgium)
Audi Ag
(Germany)
Sintef As
(Norway)
Teknologian Tutkimuskeskus Vtt
(Finland)
Institut Polytechnique De Grenoble
(France)
DPControl S.c.a r.l.
(Italy)
UAB Teraglobus
(Lithuania)
Intrasoft International S.A.
(Luxembourg)
Industrial Technology Research Institute Incorporated
(Taiwan)
Institut Mikroelektronickych Aplikaci S.R.O.
(Czech Republic)
Murata Electronics Oy
(Finland)
Vranken-Pommery-Monopole
(France)
Technische Universitat Dresden
(Germany)
Ostbayerische Technische Hochschuleamberg-Weiden
(Germany)
STMicroelectronics S.r.l.
(Italy)
Tttech Computertechnik Ag
(Austria)
Know-Center Gmbh Research Center For Data-Driven Business & Big Data Analytics
(Austria)
Vaisto Solutions Oy
(Finland)
Université De Reims Champagne-Ardenne
(France)
Vilnius Gediminas Technical University
(Lithuania)
Technische Universitat Munchen (Fg Obstbau)
(Germany)
Infineon Technologies Austria Ag
(Austria)
Third parties:
ALMA MATER STUDIORUM - Università di Bologna
(Italy)
Total Eu Contribution: Euro (EUR) 8.763.190,67
Project Duration in months: 37
Start Date:
01/05/2019
End Date:
31/05/2022
Cordis webpage
Project website
This project contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 826060