Numerous real-world processes require close monitoring by humans and machine learning (ML) models in order to verify calibration/stability and detect potential shifts/anomalies. The real-time nature of such tasks brings unique challenges from a ML perspective. This seminar will explore relevant ML aspects such as online learning, real-time data visualization, and energy efficiency. Use cases in manufacturing and intensive care will be covered.

Students will select a few papers from a pool of thematically relevant research papers, which they will read and present over the course of the semester.