News (en)

Invitation to the 4th Pro²Future Scientific Symposium

On Monday, May 4, 2026, Pro²Future will host its 4th Scientific Symposium. This year’s event, themed “Cognitive and Sustainable Products and Production Systems of the Future,” focuses on the vital breakthroughs at the intersection of Artificial Intelligence and industrial sustainability. Join us to hear from two top-tier speakers demonstrating how AI and sustainability merge in …

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Doctoral Defense Successfully Completed: Congratulations to Josef Suschnigg

We are pleased to share that Josef Suschnigg, Area Analytics Researcher at Pro²Future, successfully completed his doctoral defense on November 28, 2025. His dissertation, “Visual Analytics for Data-Driven Decision Support in Industrial Applications,” was carried out as part of his research activities at Pro²Future and developed in collaboration with our industry partners AVL List GmbH …

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WunderKInd Upper Austria: Pro²Future Actively Shapes the Industrial AI Future

LINZ. Artificial Intelligence (AI) is the key to the competitiveness of Upper Austria as a business location. At the official launch of the “WunderKInd” campaign by Governor Mag. Thomas Stelzer on April 8, 2026, at the Linz Landhaus, the Pro²Future team demonstrated how applied research makes the leap into industrial practice. The Pro2Future GmbH competence …

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University Course Cognitive Industry Engineering – AI Competence for the Manufacturing Industry

Artificial intelligence is fundamentally transforming the manufacturing industry. Companies that strategically deploy AI, machine learning and cognitive systems gain measurable competitive advantages – in quality assurance, process optimization and automation. The University Course Cognitive Industry Engineering, offered in cooperation with TU Graz Life Long Learning, delivers exactly this competence: scientifically grounded, practice-oriented and directly aligned …

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Insights from HRI 2026: Empowering Society through Human-Robot Interaction

In mid-March, Pro²Future was represented at this year’s HRI 2026, International Conference on Human-Robot Interaction. As a central platform for Human Robot Interaction, HRI 2026 brought together international experts to discuss the future of human-centered AI and Human-Robot Interaction. Explainability as a Key Enabler of Human-Robot collaboration At the conference, Verena Szojak presented her latest …

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Publications Record Update (2025)

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 …

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Enhancing LLMs’ Reasoning Capabilities by Including Retrieval: Congratulations to Srijan Shakya

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. …

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„Cognitive Industry Engineering“: TU Graz and Pro²Future launch new University Course

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 …

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Sensorless Classification of Severe Tool Wear in CNC Milling: Congratulations to Sandro Lic

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 …

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