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DTSTART:20240310T030000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260409T132017
UID:199068@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20240913T153000
DTEND;TZID=America/Chicago:20240913T163000
DESCRIPTION:GeoMachina: What Designing Artificial GIS Analysts Teaches Us A
 bout Place Representation. Questions surrounding the computational represe
 ntation of place have been a cornerstone of GIScience since its inception.
  During the rise of generative AI and large language models (LLMs)\, it se
 emed for a moment that a breakthrough would be insight\, but\, maybe unsur
 prisingly\, things took a different turn. This talk will report on concept
 ual lessons learned in designing and benchmarking autonomous artificial GI
 S analysts\, place representation paradigms and discuss neuro-symbolic (hy
 brid) AI.\n\nCONTACT: song.gao@wisc.edu\n\nURL: https://geography.wisc.edu
 /geolectures/professor-krzysztof-janowicz/
LOCATION:180 Science Hall
SUMMARY:Geospatial Data Science Seminar with Dr. Krzysztof Janowicz
URL;VALUE=URI:https://geography.wisc.edu/geolectures/professor-krzysztof-ja
 nowicz/
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