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:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69dcc4788a680
DTSTART;TZID=America/Toronto:20240207T103000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20240207T113000
URL:https://uwaterloo.ca/computer-science/events/seminar-ai-learning-genera
 tive-models-from-a-control-perspective-for-scientific-discovery
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West DC 1304 Waterloo ON N2L 3G1 Canada
SUMMARY:Seminar • Artificial Intelligence • Learning Generative Models\
 nfrom a Control Perspective for Scientific Discovery
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS SEMINAR WILL TAKE PLACE IN DC 1304.\n\nDINGHU
 AI ZHANG\, PHD CANDIDATE\n_Mila_\n\nAdvancements in scientific discovery h
 ave always been at the forefront\nof human endeavor\, particularly in comp
 lex domains such as molecule\nsynthesis. The intrinsic challenges in these
  fields stem from two main\nfactors: the vast and combinatorially complex 
 high-dimensional search\nspaces\, and the costly evaluation of scientific 
 hypotheses. Therefore\,\nleveraging machine learning offers a promising av
 enue to expedite the\nscientific discovery process.
DTSTAMP:20260413T102456Z
END:VEVENT
END:VCALENDAR