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VERSION:2.0
PRODID:https://github.com/derhansen/sf_event_mgt
METHOD:PUBLISH
BEGIN:VEVENT
UID:3933-2675@rg-trier-luxemburg.gi.de
CLASS: PUBLIC
SUMMARY:Student Workshop: Machine Learning for Space Applications (Day 1)
DESCRIPTION:As part of a Workshop "Machine Learning for Space Applications"
  (as part of the Interdisciplinary Space Master programme of the University
  of Luxembourg, see ism.uni.lu), 10 students will each give a lecture on se
 lected literature on 7 and 14 December, respectively, from 13h00 - 14h30. T
 he lectures are open to the public, interested parties are cordially invite
 d.\n\nFor the second day of the workshop, see here.\n\nLink\n\nhttps://unil
 u.webex.com/unilu/j.php?MTID=m8ee9a036b723611bb60878c075c45edd\n\nMeeting n
 umber:   163 340 8843 Meeting password: DwFaQQU9n83\n\nProgram\n\n13h00 Lar
 i Cuijko       talks about       McGovern, Wagstaff: Machine learning in sp
 ace: extending our reach\n\n13h20 Dave Vandermeer       talks about       G
 rimonte, Izzo: 12 Artificial Intelligence for Space Applications\n\n13h40 R
 ui Zong       talks about       Lofqvist, Cano: Accelerating Deep Learning 
 Applications in Space\n\n14h00 Michelle Jamrozik        talks about       K
 othari, Liberis, Lane: The Final Frontier: Deep Learning in Space\n\n14h20 
 Mariusz Ludwikowski       talks about       Nayem, Sarker, Paul, Ali, Amin,
  and Rahman: LULC Segmentation of RGB Satellite Image Using FCN-8
LOCATION:Online
DTSTAMP:20201120T130039Z
DTSTART:20201207T120000Z
DTEND:20201207T133000Z
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