Photonics, Optical, Optics, Machine Learning, Electronics.
which we collected experimentally has some unknown noise factor which is never taken care of in equations. In this case, machine learning can be used to predict new values which will take into account the unknown noise of the experimental kit. So I think these 2 factors/cases make the application