Fraunhofer Institute for Industrial Mathematics ITWMIn the project »GAIA-X 4 AI« , we are working with 14 partners to develop an ecosystem of data and services that enable the training and validation of artificial intelligence (AI) applications. »GAIA-X 4KI« is part of the European project »GAIA-X«. and the consortium is composed of industry and research. The German Federal Ministry of Economics and Climate Protection (BMWK) is funding the project. Huge amounts of data are generated during the planning, construction and operation of vehicles. Our team in GAIA-X 4 AI is applying AI methods to use them efficiently and safely.
Nachtansicht Verkehr
In the project »GAIA-X 4 AI«, an ecosystem of data and services is being developed to enable the training and validation of artificial intelligence (AI) applications. »GAIA-X 4KI« is part of the European project »GAIA-X«. and the consortium is composed of industry and research.
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European Data Cloud for the Mobility of the Future
BMWK Project »GAIA-X 4 KI«: Applied Artificial Intelligence as the Engine of Mobility
The project focuses on two use cases in the automotive industry. Enriching data across the entire product lifecycle and making it usable for different purposes holds great potential for new forms of collaboration and value chains. The basis in the project is the open IT infrastructure GAIA-X, which is currently being established throughout Europe. The goal of GAIA-X is a secure and distributed data infrastructure that meets the highest standards of digital sovereignty and promotes innovation.
High Performance Computing Expertise from the Fraunhofer ITWM
To this end, our researchers of the division »High Performance Computing« bring together data and infrastructure, hardware and software. Our research group first investigates how to effectively use the already existing infrastructure and modifies it in the next step. This new infrastructure represents the first real implementation and realization of GAIA-X4KI demonstrators. It is based on the guidelines of the overarching EU project and thus bears the stamp »GAIA-X compliant«. This is important for all international companies that want to work with it.
The decentralized organization of data forms the basis. Our experts use »containers« for this, in which they pack the applications and move them between the respective environments as in a marshalling yard. The challenge: to get the containers on track in such a way that the available computing resources are used optimally. This results in complex mathematical optimization tasks that can only be solved efficiently by considering the entire system of hardware, software and application algorithms. In addition, users should be able to deploy their containers without major effort not only at their own premises, but also on a platform that is accessible to all.
Mobility Domain Prototype and Blueprint for other GAIA-X 4 AI Projects
Normally, data is uploaded to a cloud and processed there, but downloading the result is expensive. That's why »GAIA-X 4 KI« takes a different approach: We calculate directly where the data is – i.e. at the locations of the project partners. This not only saves money, but also energy.
In the GAIA-X 4 KI project, the Offenburg University of Applied Sciences, the German Aerospace Center (DLR), and the ITWM team are each building a demonstrator. The researchers are focusing on use cases from the automotive industry, aiming to transfer automated and connected driving into practice.
This way it will also work with the neighbor: Safely integrating the interaction between autonomous and conventional road users is one of the central challenges of the future traffic infrastructure.
Our Project Partners
The structure of GAIA-X 4 KI is adapted to the already developed concept architecture from the GAIA-X initiative.
- Capgemini Engineering
- Conti Temic microelectronic GmbH
- CONWEAVER
- Deutsches Zentrum für Luft- und Raumfahrt (DLR) – Institute of Transportation Systems
- Fraunhofer Institute for Software and Systems Engineering ISST
- HighQSoft GmbH
- IAV
- Intel
- Institute for Machine Learning and Analytics (IMLA), Technical University Offenburg
- Institut für rechtliche Grundlagenforschung, Leibniz University Hannover (LUH)
- reuschlaw Legal Consultants
- Technical University Ingolstadt (THI)
- T-Systems International GmbH (TSY)
Projectcoordinator is Dr.-Ing. Sascha Knake-Langhorst (DLR).
Project Duration and Funding
The project is scheduled to run for three years (June 1, 2021 to May 31, 2024) and is funded by the German Federal Ministry of Economics and Climate Protection (BMWK). The project from the domain »Mobility« is the first of the project family »GAIA-X 4 Future Mobility«, which is coordinated by the DLR Institute for AI Security.