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.

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(2001)

Data Centers in Space Geek Out

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Do data centers in space make any sense? Time for a rare summer-time Geek Out! Richard chats with Carl about all the hype surrounding building orbital data centers for AI workloads. Richard points out...

17 Kesä 1h 17min

Event Sourcing using Cratis with Einar Ingebrigsten

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11 Kesä 54min

Daemonic AI with Emmz Rendle

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4 Kesä 58min

Ten Things Scott Sauber Does On Every .NET App

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28 Touko 55min

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21 Touko 58min

Use What Works with Dylan Beattie

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14 Touko 56min

.NET Nanoframework with José Simões

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Ready to go nano? Carl and Richard talk to José Simões about the open source .NET nanoFramework - a community-driven project to provide .NET for embedded systems. José talks about the evolution from t...

6 Touko 55min

Episode 2000!

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30 Huhti 1h 38min