On April 24, 2026, Pro²Future will be part of the Lange Nacht der Forschung, showcasing how the future of production is becoming reality. From 5:00 PM to 11:00 PM, visitors are invited to explore interactive demonstrations at the ground floor of Science Park 3, Johannes Kepler University Linz, with free admission. Two stations, one glimpse …
Lange Nacht der Forschung 2026: Experience Pro²Future Read More »
Find the complete record of Pro²Future’s publications via the main menu > Research > Publications. The record has been updated including all publications until end of 2025. Pro²Future is proud to announce the following publication numbers in 2025: 23 scientific journals, 24 peer reviewed conference papers, 5 special talks, 4 awards and honors as well …
Srijan Shakya has successfully completed his master’s thesis, “Enhancing LLMs Reasoning Capabilities by Including Retrieval.” The work was supervised by Univ.-Prof. Dr. Sepp Hochreiter and Dr. Korbinian Pöppel, MSc. In this thesis, the reliability of large language models (LLMs) in complex reasoning tasks was investigated by treating retrieval as a form of dynamic in-context learning. …
In cooperation with the Life Long Learning Center of TU Graz, Pro²Future is offering a part-time university course that provides practical AI and data competencies for the manufacturing industry. The course is designed for professionals and executives and focuses on the strategic and sustainable application of cognitive technologies in industrial environments. Practice-oriented education for Industrial …
„Cognitive Industry Engineering“: TU Graz and Pro²Future launch new University Course Read More »
Sandro Lic, Reseracher in Area Orchestration, has successfully defended his master’s thesis, “Sensorless Classification of Severe Tool Wear in CNC Milling using ResNet,” completed at Johannes Kepler University Linz. His research addresses the high costs and complexities of traditional tool condition monitoring by proposing a fully sensorless approach that leverages existing internal machine data, specifically …
