Abstract
ANALYST is a research project funded by the Norwegian Research Council that aims to combine the novel LR-spline representation with modern AI techniques. The project specifically targets applications related to geospatial and medical imaging data. In this talk we will provide an introduction to the project concept and mention some of the results achieved in the project. We will then go in more depth into a recent publication that was made in collaboration between IVS and SINTEF. In that paper, the idea was to combine tensor-product splines and deep learning to provide compact representations of smooth segmentation boundaries. This paper has led to several new avenues for future research, so we will conclude the talk by describing some of these future directions and the challenges involved.