Machine Learning on Geospatial Data with Malte Loller-Anderson & Mathilde Ørstavik
.NET Rocks!29 Elo 2024

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

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.

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Gael Fraiteur on PostSharp

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13 Joulu 20071h 5min

Tomas Petricek on PHP in ASP.NET and Silverlight!

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11 Joulu 200757min

Open Source Panel Discussion at DevTeach, Vancouver

Open Source Panel Discussion at DevTeach, Vancouver

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6 Joulu 20071h 17min

Naveen Yajaman on Visual Studio Tools for Applications

Naveen Yajaman on Visual Studio Tools for Applications

Naveen YajamanSupport this podcast at — https://redcircle.com/net-rocks/donations

4 Joulu 20071h 2min

Colin Miller and the .NET Micro Framework!

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29 Marras 20071h

F# Moves Forward

F# Moves Forward

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27 Marras 20071h 6min

Dot Net Nuke Discussion Panel

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23 Marras 20071h 13min

Kent Alstad at Dev Connections!

Kent Alstad at Dev Connections!

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20 Marras 20071h 18min