Infineon to Lead European Research Project on Industry 5.0

Infineon Technologies AG is taking over coordination of the wide-scope European research project AIMS5.0 (“Artificial Intelligence in Manufacturing Leading to Sustainability and Industry 5.0”).

Hardware and software-based artificial intelligence are to improve resource consumption in manufacturing and at the same time raise product quality. In addition, the objective is to improve resilience, optimize supply chains and time-to-market in order to boost the international competitive strength of Europe as a commercial location.

A budget of approximately €70 million makes AIMS5.0 one of Europe’s major research projects. It is being funded under the European Union’s Key Digital Technologies Joint Undertaking (KDT JU). Fifty-three research and partners in industry from twelve countries are participating.

“Production processes in the sense of Industry 5.0 incorporate humans, the environment and the entire supply chain. The research project AIMS5.0 will make intensified use of Artificial Intelligence to achieve comprehensive improvements in all these aspects, thus increasing the sustainability, resilience and competitive strength of European manufacturing,” said Rutger Wijburg, COO at Infineon. “We at Infineon are committed to driving decarbonization and digitalization. We are therefore very pleased to take on leadership of AIMS5.0, where we will move Industry 5.0 ahead in alliance with excellent European partners.”

The AIMS5.0 project consortium represents the entire chain, including producers, suppliers, specialists, research institutes and universities. In a variety of working groups they are examining 20 application cases from new fields and exchanging results on an interdisciplinary basis. A language model is to be developed which renders the widest possible variety of data intelligible for humans and computers in order to better analyze and forecast supply chains.

Another application case is concerned with an interface between the human brain and the computer based on electroencephalography (EEG; measurement of brain waves). The interface is to control an exoskeleton as electromechanical support for humans in production operations. A third application case is developing an MLOps machine learning tool for the use of artificial intelligence in semiconductor manufacturing.

The 53 partners in the AIMS5.0 research project are:
AI Dig+ Solutions GmbH (DE), AIT Austrian Institute of Technology GmbH (AT), AITIA International Inc. (HU), Bayerische Motoren Werke Aktiengesellschaft (DE), Budapest University of Technology and Economics (HU), Cetto GmbH (DE), CISC Semiconductor GmbH (AT), DAC Spolka Akcyjna (PL), Elektronikas un datorzinatnu instituts (LV), Fabmatics GmbH (DE), FernUniversität in Hagen (DE), Fraunhofer Gesellschaft zur Förderung der angewandten Forschung e. V. (DE), Gdansk University of Technology (PL), Goimek S.Coop (ES), Harokopio University (EL), Hochschule Stralsund (DE), Hochschule Zittau/Görlitz (DE), Husqvarna AB (SE), Ibermatica S.A (ES), Ideko S.COOP. (ES), Idryma Technologias Kai Erevnas (EL), Infineon Technologies AG (DE), Infineon Technologies Austria AG (AT), Infineon Technologies Dresden GmbH & Co. KG (DE), Institut für Integrierte Produktion Hannover gemeinnützige GmbH (DE), KAI – Kompetenzzentrum Automobil- und Industrieelektronik GmbH (AT), Lfoundry (IT), Luleå University of Technology (SE), NXP Semiconductors Netherlands BV (NL), Pfeiffer Vacuum SAS (FR), Philips Consumer Lifestyle BV (NL), PhytonIQ Technology (AT), Research Studios Austria Forschungsgesellschaft mbH (AT), Rijksuniversiteit Groningen (NL), SAVVY Data Systems S.L. (ES), Semaku BV (NL), Signify Netherlands BV (NL), Skandinaviska Enskilda Banken AB (SE), SmartUniversal (TR), Soraluce S. Coop (ES), Statwolf Data Science (IT), Stream Analyze (SE), SYSTEMA Systementwicklung Dipl.-Inf. Manfred Austen GmbH (DE), Technische Universitaet Dresden (DE), Technische Universiteit Eindhoven (NL), Thales Research and Technology (FR), TTTech Industrial Automation AG (AT), Tubitak Bilgem AI Institute (TR), Universität zu Lübeck (DE), Universidad Politécnica de Madrid (ES), Università degli Studi di Padova (IT), Virtual Vehicle Research GmbH (AT), Wirtschaftsuniversität Wien (AT)