Physical processes often involve effects on multiple scales. Examples for this are composite materials or groundwater flow in heterogeneous media. The underlying differential equations, these different scales pose a problem due to their requirements on the resolution of the method. Specialized methods solve these problems in a parallel manner by exploiting locality properties. In my project, the goal is to develop such methods and enhance them with machine learning techniques to speed up the computations or improve results.