News (en)

Pro²Future has joined the EFFRA Network as a Research Member: www.effra.eu The European Factories of the Future Research Association (EFFRA) is a non-for-profit, industry-driven association promoting the development of new and innovative production technologies. It is the official representative of the private side in the “Factories of the Future” public-private partnership. The key objective of …

European Factories of the Future – Research Association Read More »

AI <> HI :: ARTIFICIAL INTELLIGENCE MEETS HUMAN INTELLIGENCE – USAGE OF A COGNITIVE HEADGEAR FOR OPTIMIZING PROCESSES IN INDUSTRIAL PRODUCTION. During Pro²Future’s research activities, there is a common research program (CRP) with the Austrian Center for Digital Production (CDP) in Vienna. Different demo cases were implemented in this CRP, which are summarized in three …

Success Story – Common Research Programme DP1 Read More »

On 24.11.2020 the final examination of our employee Marcel Wuwer took place in virtual form. With his topic “Prediction of the Energy Consumption of CNC machine tools using Machine Learning” he was able to convince the committee consisting of Franz Haas (examiner), Michael Bader (chairman) and Siegfried Vössner (assessor). Also at Pro²Future the topic of …

Master’s Examination Read More »

Milot Gashi, researcher of area 3 – Cognitive Decision Support – presented his work at the IEEE Information Visualization (InfoVIS 2020). The IEEE Information Visualization (InfoVis) conference focuses on a diverse set of topics related to information visualization. He proposes an interactive visual analytics dashboard based on SHAP values that highlights key features in a …

IEEE InfoVIS 2020 Read More »

Georgios Koutroulis, researcher from Area 3 – Cognitive Decision Systems, presented his work at the 12th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2020). The KDIR 2020 conference focused on methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data sets. The presented paper, titled …

KDIR 2020 Read More »