Month: July 2025

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 …

Making hidden industrial processes transparent – with Explainable AI! Read More »

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 …

Bronze Award at ICIE International Conference Innovation in Engineering Read More »

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 …

Advancing Plastic Waste Sorting through Federated AI Research Read More »

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 …

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

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 …

AI models for small devices: Pro²Future enables embedded intelligence Read More »