The complexity of technical systems is increasing, and relatively small design decisions taken in separate disciplines (like e.g. Electronics or Mechanics) can have a significant impact on the total performance of the system. System Engineers have difficulty understanding the extent of this interminglement. Fortunately, machine learning techniques can help them to grasp the increasing complexity of system engineering. Watch the video