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PRODID:-//github.com/allenporter/ical//8.1.0//EN
VERSION:2.0
BEGIN:VEVENT
DTSTAMP:20260928T220458
UID:a4e9fe02-bb88-11f1-9792-bc241160b610
DTSTART;TZID=Europe/Paris:20261005T140000
DTEND;TZID=Europe/Paris:20261005T160000
SUMMARY:Métaplasticité Bayésienne : l’Incertitude comme Principe 
 Algorithmique pour l’Apprentissage Embarqué
DESCRIPTION:Kellian Cottart – Centre de nanosciences et de 
 nanotechnologies\n\nArtificial intelligence is increasingly moving from 
 data centers to edge devices\, where neural networks must operate and 
 learn continuously under severe constraints on memory\, computation\, and 
 energy. At the same time\, real-world environments are dynamic\,...
LOCATION:
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