News (en)

Making hidden industrial processes transparent – with Explainable AI!

In complex industrial environments such as steel production, many key processes take place deep inside large-scale systems, far from direct measurement. Understanding and optimizing these systems is crucial for operational stability, energy efficiency and competitiveness. This was the starting point for the research project PreMoBAF – Predicting and Monitoring the Behavior of Blast Furnace and …

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Bronze Award at ICIE International Conference Innovation in Engineering

The paper “Prospects of Use of Hydrocarbon Waste as a Feedstock for the Production of Plastic Lubricants”, authored by Alona Tulska, in collaboration with other international researchers and Pro²Future Researcher Markus Brillinger, received the Bronze Best Industrial Application Paper Award at the International Conference Innovation in Engineering (ICIE) in Prague. The study explores the potential …

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Advancing Plastic Waste Sorting through Federated AI Research

Plastic waste classification plays a crucial role in enabling a circular economy. However, conventional solutions often depend on centralized data, posing significant challenges in terms of scalability and data privacy. Addressing this issue, researchers at Pro²Future have developed a federated continual learning (FCL) approach that enables collaborative AI training without the need to share raw …

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Edge AI: Why the future of Artificial Intelligence lies directly on the chip

In a recent interview with Deutschlandfunk, aired as part of the Computer and Communication segment, Dr. Michael Krisper, Senior Researcher at Pro²Future, discusses the challenges and opportunities of local AI processing on resource-constrained devices. “Our goal is to make AI functions on small devices more reliable, autonomous, and secure, despite limited resources,” Krisper explains in …

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AI models for small devices: Pro²Future enables embedded intelligence

In the recently completed E-MINDS research project, researchers from Pro²Future, TU Graz and the University of St. Gallen achieved a key breakthrough: artificial intelligence can now run efficiently on highly resource-constrained IoT devices without relying on external computing power. Led by Dr Michael Krisper, Senior Researcher at Pro²Future and affiliated with the Institute of Technical …

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Industry Research for Tomorrow’s Mobility: Pro²Future at Zukunft.Mobilität 2025

On June 18, 2025, the Raiffeisen Arena in Linz was all about the mobility revolution. At the Zukunft.Mobilität 2025 event, organized by Business Upper Austria, representatives from business, science and politics came together to discuss forward-looking strategies for the mobility of tomorrow. Pro²Future was also there to contribute impulses from research and innovation to the …

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Successful defense of PhD thesis on Cognitive Augmentation for Manual Assembly

On May 15th, Georgios Sopidis successfully defended his dissertation thesis (pass with distinction), at the Institute of Pervasive Computing at Johannes Kepler University Linz. The work was supervised by Univ.-Prof Dr. Alois Ferscha. The committee was completed by Univ.- Prof. Dr. Paul Lukowicz (DFKI and RPTU Kaiserslautern) as external examiner, Univ.-Prof.in Dr.in Martina Mara (LIT Robopsychology Lab, JKU Linz) and Univ.-Prof. Dr. Josef Küng (Institute for …

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BH TechConnect Graz 2025: Bridging Borders through Technology and Leadership

On May 17, 2025, our Area Manager, Dr. Amer Kajmaković, played a significant role in organizing an event that brought together a vibrant mix of minds, industries and cultures. Uniting people of Bosnian origin from across this part of Europe with those from Bosnia and Herzegovina. The result? A powerful convergence of innovation, digitalization, sustainability, and collaboration. Organized by DUIT …

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Adaptive Explainability in Human-Robot Collaboration

Pro²Future explores how cobots can communicate more effectively with humans in industrial settings The increasing integration of collaborative robots (cobots) in manufacturing environments presents opportunities for improved efficiency and flexibility but also introduces new challenges in human-robot interaction. As cobots operate with a degree of autonomy, users can experience uncertainty or mistrust, especially when the …

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