As a result of the enormous progress made in recent years, AI processes are already being used successfully in countless areas of industry across all sectors. In this online workshop, we will use the case study of an electric traction test bench to discuss how artificial intelligence can be used to analyze and evaluate large amounts of data from industrial processes. Based on this use case, the potential of AI methods for optimizing the testing and evaluation process of electric motors can be demonstrated. Among other things, strategies for detecting and avoiding errors are developed. However, the development and application of AI methods requires specific knowledge in the respective field of application to process and provide data and information for the algorithms' learning process. In many cases, mastering this is the biggest challenge. In this workshop, we would like to share our knowledge and experience in solving these and many other challenges.

Further information: https: //www.uni-kassel.de/eecs/ies/aimee-workshop-2022/home