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TZID:Europe/Paris
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BEGIN:VEVENT
UID:342@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20231121T140000
DTEND;TZID=Europe/Paris:20231121T140000
DTSTAMP:20260828T084705Z
URL:https://isdm.umontpellier.fr/events/ai-for-sustainability-challenges-a
 nd-opportunities/
SUMMARY:AI for sustainability: Challenges and opportunities
DESCRIPTION:Room Zénith\, Maison de la Télédétection\n\nMachine Learnin
 g in Montpellier\, Theory &amp\; Practice\n\nArtificial Intelligence has b
 een instrumental in advancing science in the past decade\, and enabling a 
 “fourth paradigm” for science. Can AI be equally effective for advanci
 ng scientific discoveries related to sustainability? In this talk\, I will
  revisit some of the grand challenges related to understanding and modelli
 ng sustainability problems: what makes such problems apart from other scie
 ntific endeavors? Then\, we will identify together with the audience some 
 of the challenges and opportunities that AI can be useful and impactful.\n
 \nMachine Learning in Montpellier\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Maison de la Télédétectio\, Room Zenith\, 500 Rue Jean Françoi
 s Breton\, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=500 Rue Jean François Bret
 on\, Montpellier\, ;X-APPLE-RADIUS=100;X-TITLE=Maison de la Télédétecti
 o\, Room Zenith:geo:0,0
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:STANDARD
DTSTART:20231029T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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