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.

Jaksot(1963)

Mike Nash Talks IE8 and Windows 7!

Mike Nash Talks IE8 and Windows 7!

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12 Maalis 20091h 11min

Tess Ferrandez on Debugging

Tess Ferrandez on Debugging

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Rob Boucher on Application Architecture Guidance!

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Lee Zuckett on the Customer Care Framework

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3 Maalis 200948min

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Andrew Brust Talks BI

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27 Helmi 20091h

Catching up with Pablo Castro

Catching up with Pablo Castro

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25 Helmi 20091h 6min

Doug Crockford

Doug Crockford

Doug Crockford talks about Javascript, JSON and more!Support this podcast at — https://redcircle.com/net-rocks/donations

19 Helmi 20091h 5min

Derik Whittaker on nHibernate

Derik Whittaker on nHibernate

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17 Helmi 200957min