Malte Loller-Anderson

Malte Loller-Anderson from Norkart and Mathilde Ørstavik, an expert in machine learning for identifying buildings, share fascinating insights into using AI for geospatial data. They discuss how Norkart automates building recognition from aerial imagery, tackling challenges like distinguishing between real structures and natural formations. They also explore the decision to use in-house nVidia processors for training models, emphasizing the intricacies of managing vast datasets and the potential benefits for urban planning and emergency services.