The Software Competence Center Hagenberg (SCCH) has initiated the international research project TEAMING.AI for this purpose. Together with top European partners in research and industry, the concept will be implemented and illustrated by means of demonstrators in the fields of quality inspection, machine diagnostics and accident prevention. AI in production processes is seen as a key issue for the competitive situation of all of Europe because AI is not particularly integrated into industrial operations in the USA and China. A large proportion of production operations is fully automated, which works very well with large batch sizes but should also have a positive impact when used efficiently in smaller batch sizes. However, manufacturing smaller quantities means less data is available for machine learning. For this reason, the know-how and support of experienced skilled employees is required, based on their expertise on processes and interrelationships. Above all, context information is needed. "This could be technical documentation, system logs or sensor data from machines and the feedback from people. The challenge is to leverage this diverse range of information. To this end so-called knowledge graphs can be used i.e. a system enabling different information to be searched for and linked with each other", explains Bernhard Moser, the initiator and coordinator of TEAMING.AI.
Continue reading and learn more about the ICT sector in Austria.