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SUMMARY:Machine learning in astrophysics: old and new challenges
DTSTART;VALUE=DATE-TIME:20260907T084000Z
DTEND;VALUE=DATE-TIME:20260907T092000Z
DTSTAMP;VALUE=DATE-TIME:20260922T191357Z
UID:indico-contribution-2053@events.ncbj.gov.pl
DESCRIPTION:Speakers: Agnieszka Pollo (National Centre for Nuclear Researc
 h AND Jagiellonian University)\nWith the advent of the Vera Rubin Observat
 ory\, astronomy and astrophysics are entering an era of indeed astronomica
 lly big data. I will discuss new opportunities but also challenges that ma
 chine learning is facing today\, illustrated by examples of research condu
 cted by our Warsaw group.\n\nhttps://events.ncbj.gov.pl/event/468/contribu
 tions/2053/
LOCATION:
URL:https://events.ncbj.gov.pl/event/468/contributions/2053/
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