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DTSTART:20250309T030000
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DTSTAMP;TZID=America/Chicago:20260408T160345
UID:208411@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20250502T140000
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DESCRIPTION:Spatial Representation Learning: What\, How\, and Why. Hosted b
 y the GeoDS Lab@UW-Madison\nCo-sponsored by the UW-Madison Data Science In
 stitute\nGuest Speaker: Dr. Gengchen Mai\, Director of Spatially Explicit 
 Artificial Intelligence (SEAI) Lab\, University of Texas at Austin\nAbstra
 ct: The talk presents several recent works from the SEAI Lab about spatial
  representation\, including various location encoding models\, an SRL deep
  learning framework (TorchSpatial)\, and a SRL-powered geo-foundation mode
 l (GAIR).\n\nCONTACT: song.gao@wisc.edu\n\nURL: https://geography.wisc.edu
 /geods/archives/4096
LOCATION:175 Science Hall
SUMMARY:Geospatial Data Science Speaker Series: Dr. Gengchen Mai
URL;VALUE=URI:https://geography.wisc.edu/geods/archives/4096
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