The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
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Machine Learning on Geospatial Data with Malte Loller-Anderson & Mathilde Ørstavik
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Manage episode 436741603 series 11362
Content provided by Carl Franklin and Richard Campbell, Carl Franklin, and Richard Campbell. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carl Franklin and Richard Campbell, Carl Franklin, and Richard Campbell or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.
…
continue reading
588 episodes
MP3•Episode home
Manage episode 436741603 series 11362
Content provided by Carl Franklin and Richard Campbell, Carl Franklin, and Richard Campbell. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carl Franklin and Richard Campbell, Carl Franklin, and Richard Campbell or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.
…
continue reading
588 episodes
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