Green light for the milestone! At the halfway point of the project, the Decide4ECO project partners met for the milestone meeting on 25th and 26th June 2025 at PROSTEP in Darmstadt. Manufacturing-X concepts and implemented demonstrators persuaded the research executive agency, represented by Fabian Hammel (VDI Technology Centre). Prof. Dr.-Ing. Iris Grässler's team reported on the reference engineering process, sustainability metrics, and the…

Together with the Finish Meteorological Institute and the Finnish Ministry of the Interior, the “Product Creation” workgroup presented the CREXDATA project and demonstrated innovative technologies for the management of critical situations at the Emergency Services Academy in Kuopio, Finland. Developed technologies were presented as part of a practice-oriented hands-on exhibition. End users from the Emergency Service Academy were able to test…

Pilot studies, a decision-making tool, and a practical guide to legally compliant data and technology management—a whole package of results was presented at the KLUG project's digital consortium meeting. The two planned pilot studies are ready to address key challenges facing digital business models: collaboration between companies and the use of key technologies for services such as predictive maintenance. Project coordinator Prof. Dr.-Ing.…

The Ethical Machines are getting reinforcements. Violeta Miličević works at the Chair of Philosophy and Ethics of Scientific and Technological Cultures and is therefore part of the Ethical Machines. She is a researcher in the field of ethics of artificial intelligence and explainable AI (xAI) in the Collaborative Research Centre TRR 318 "Constructing Explainability". In her free time, she enjoys swimming, reading many non-fiction books and novels…

In the product.intelligence project, companies and research institutions from Ostwestfalen-Lippe (OWL) and the surrounding area are jointly developing approaches for sustainable, data-based product management. The aim is to no longer base decisions about product functions, further developments or reorientations solely on intuition and experience, but to base them on the systematic use of relevant data. In many organisations, this data is…

How can we anticipate requirements today that will only materialise in the future? The need for products to be sustainable and recyclable presents engineers with major challenges right from the early development phase. This is because many requirements often only become apparent later in the product life cycle. But how can such requirements be taken into account during development, even though many influencing factors are still unclear at this…

The DART - Data-Driven Methods in Control Engineering project was created as part of the funding programme for young female AI scientists, which was launched by the Federal Ministry of Education and Research in 2019. The aim of this funding line was to increase the participation of women in German research on artificial intelligence and also to enable them to take up academic leadership positions. The main objective of the junior research…

One of the greatest challenges in the development of automated vehicles is the precise perception of the vehicle's surroundings, especially in poor weather conditions. Commercially available sensor systems are still limited in their perception performance in the news, as rain, fog or snow can significantly impair detection performance. This is where the LiRaS (LiDAR Radar Combi System) research project comes in. It is dedicated to the…

Our HNI Forum took place on 8 July 2025 and we were able to gain exciting insights into product creation. More than 80 people attended the lecture series and listened to two exciting lectures under the main topic "Unvealing the power of extreme data for Product Creation". Our speakers Prof. Dr.-Ing. Iris Gräßler, Head of our Product Creation Group, and Prof. Dr.-Ing. Bernd Kuhlenkötter, Head of the Chair of Production Systems at Ruhr University…

The increasing integration of AI systems into everyday applications has made the explainability and transparency of machine learning models a central research challenge. Particularly on the Web – the largest information infrastructure in human history – decisions made by AI systems affect billions of users daily. Trust in these systems hinges on our ability to understand and explain their behavior. WHALE (Web-Scale Hybrid Explainable Machine…

The Institute of Human Sciences, the subject area Philosophy and the Chair of Philosophy and Ethics of Scientific and Technological Cultures are seeking to fill a position as a Research Assistant with a Bachelor's degree (f/m/d) (WHB) as part of the ERC Synergy Grant "Cultures of the Cryosphere. Infrastructures, Politics and Futures of Artificial Cooling". This is a temporary position of 10 hours per week. The tasks include the following: -…

The European Union has committed to the principles of responsible and trustworthy artificial intelligence (AI) by requiring mandatory risk assessments for AI systems prior to their deployment. Prior to its introduction, AI-based systems were subject to different jurisdictions under different aspects (e.g. product liability), whereas the AI Act provides a comprehensive and uniform framework legislation for AI systems in the EU. Its introduction…

On 27 June, the Communications Engineering specialist group welcomed Professor Nobutaka Ono from Tokyo Metropolitan University. The department organised a workshop where the guest speaker gave a lecture on "Audio on the edge: Low-latency BSS and blinky-based scene recognition". Prof. Ono is an expert in "Blind Source Separation" and "Synchronisation of Distributed Microphones".

Daniela Hobscheidt successfully completed her doctorate on the topic of "Solution patterns for the socio-technical design of Industry 4.0 in SMEs" under Prof Dr.-Ing. Roman Dumitrescu. Summary of the doctoral dissertation: The megatrend of digital transformation offers enormous potential for increasing efficiency in the production and business processes of manufacturing companies, known as Industry 4.0. The design of Industry 4.0 is to be…

Great success for "QuSine": The Paderborn University spin-off has been selected by the Federal Agency for Leap Innovations (SPRIND) for a so-called validation contract. This is a prestigious funding programme that supports ground-breaking technological developments with disruptive, i.e. market-changing, potential. "QuSine", which emerged from the "RadiOptics" research project, develops high-precision signal generators that set completely new…