Artificial Intelligence Methods in Mechanical Engineering

The team's activities should be focused on leveraging modern artificial intelligence technologies to increase efficiency, precision, and innovation in mechanical engineering. The scope of activities for the team dealing with artificial intelligence methods in mechanical engineering will include the following areas: Simulations and modeling, including the creation of predictive models for the analysis of mechanical system dynamics. Monitoring and diagnostics, including the implementation of machine and equipment condition monitoring systems using AI to analyze sensor data. Data analysis and big data, including the use of AI methods to analyze large datasets from production and operational processes to identify patterns and anomalies. Creating decision support tools based on data analysis, which can improve the efficiency and quality of engineering processes. Project management, using AI for planning and managing engineering projects, including scheduling, resource allocation, and progress monitoring.

New Space is based on the collaboration of research workers from four Cracovian institutions of higher education: the Academy of Fine Arts (Faculty of Interior Design); Cracow University of Technology (Faculty of Architecture); Jagiellonian University (Institute of Sociology and Geography and Spatial Management); and AGH University of Science and Technology (Faculty of Mechanical Engineering and Robotics, Field of Acoustic Engineering).