BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Morocco AI - ECPv5.9.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Morocco AI
X-ORIGINAL-URL:https://morocco.ai
X-WR-CALDESC:Events for Morocco AI
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20230426T200000
DTEND;TZID=Europe/Paris:20230426T211500
DTSTAMP:20260418T045545
CREATED:20230419T160739Z
LAST-MODIFIED:20230419T160743Z
UID:11545-1682539200-1682543700@morocco.ai
SUMMARY:MoroccoAI Webinar 20: Explainability of attention-based models: The Oncall Assistant use case
DESCRIPTION:MoroccoAI Webinar Series \nTitle: Explainability of attention-based models: The Oncall Assistant use case \nSpeaker: Dr. Saousan Kaddami\, Research Scientist\, Amazon\, Luxembourg
URL:https://morocco.ai/event/moroccoai-webinar-20-explainability-of-attention-based-models-the-oncall-assistant-use-case/
ORGANIZER;CN="MoroccoAI":MAILTO:contact@morocco.ai
END:VEVENT
END:VCALENDAR