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€70m Industry 5.0 project looks at brain interfaces and chip-making AI

€70m Industry 5.0 project looks at brain interfaces and chip-making AI

Technology News |
By Nick Flaherty



Infineon Technologies is leading a major ‘Industry 5.0’ project that launches next week to develop the next generation of industrial AI systems.

The €70m AIMS5.0 (Artificial Intelligence in Manufacturing Leading to Sustainability and Industry 5.0) project is developing hardware and software-based AI to improve resource consumption in manufacturing and at the same time raise product quality.

This includes machine learning (ML) in semiconductor manufacturing and hardware interfaces to the brain to control exoskeletons.

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.

The funding from the European Union’s Key Digital Technologies Joint Undertaking (KDT JU) is shared between 53 research and partners in industry from twelve countries.

“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,” says Rutger Wijburg, Chief Operating Officer at Infineon.

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 use case covers the 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. This is particularly interesting with Philips as a project member given the company’s shift to medical AI. 

A third use case is developing an MLOps machine learning tool for the use of Artificial Intelligence in semiconductor manufacturing.

The project follows on from the Productive4.0 lighthouse project, also led by Infineon.

Over the course of three years, the research project AIMS5.0 will investigate decisive fundamentals for the next steps in the digital transformation of European industry. The kick-off event and official launch will take place at the Infineon Villach site on 23 May 2023.

Alongside Infineon in Munch, Dresden and Villach, Austria, 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)
  • BMW (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),
  • 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)
  •  

www.infineon.com; https://productive40.eu/;

 

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