BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20180311T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20181104T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69b6fe9bebf46
DTSTART;TZID=America/Toronto:20190228T103000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20190228T103000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-vi
 sual-question-answering-and-beyond
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 1304 Waterloo ON N2L 3G1 Canada
SUMMARY:AI Seminar: Visual Question Answering and Beyond
CLASS:PUBLIC
DESCRIPTION:AISHWARYA AGRAWAL\, PHD CANDIDATE\n_School of Interactive Compu
 ting\, Georgia Tech_\n\nIn this talk\, I will present our work on a multi-
 modal AI task called\nVisual Question Answering (VQA) — given an image a
 nd a natural\nlanguage question about the image (e.g.\, “What kind of st
 ore is\nthis?”\, “Is it safe to cross the street?”)\, the machine’
 s task\nis to automatically produce an accurate natural language answer\n(
 “bakery”\, “yes”).
DTSTAMP:20260315T184651Z
END:VEVENT
END:VCALENDAR