Machine Learning on Geospatial Data with Malte Loller-Anderson & Mathilde Ørstavik

Machine Learning on Geospatial Data with Malte Loller-Anderson & Mathilde Ørstavik

Author: Carl Franklin and Richard Campbell August 29, 2024 Duration: 54:17
What can machine learning do for geospatial data? Carl and Richard talk to Malte Loller-Anderson and Mathilde Ørstavik about their work at Norkart, using aerial imagery to build detailed maps around Norway. Mathilde dives into the critical role of machine learning - identifying buildings in images. Usually done by hand with each new image, Norkart has a machine learning model that automates the process trained on previous vector maps of buildings. But there are many things that look like buildings in Norway, including patches of snow, mountains, and even shapes under water. Malte also discusses how Norkart has decided to train in-house with nVidia L40 processors rather than in the cloud - the hardware is used 24 hours a day since some models can take weeks to train! There are many interesting ideas about geospatial data and machine learning from people who have been doing it for years.

Hosted by Carl Franklin and Richard Campbell, .NET Rocks! is a long-running conversation with the people building the future of software. This isn't a dry lecture; it's a lively, technical deep dive where two seasoned developers explore the vast ecosystem around Microsoft .NET, Azure, and modern development practices with a diverse roster of expert guests. Each episode feels like you're pulling up a chair in a room full of brilliant minds, listening to unfiltered discussions about real-world coding challenges, architectural patterns, and the tools that shape our daily work. You'll hear practical advice, war stories from the trenches, and forward-looking insights that go far beyond the documentation. Tuning into this podcast means connecting with a community of professionals who are as passionate about the craft as you are, offering perspectives that can transform how you approach your next project. Whether you're deep into C# or just curious about cloud-native development, these conversations provide a valuable blend of knowledge, humor, and genuine enthusiasm for technology.
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