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:20150308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20151101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69f2f6b34ca6a
DTSTART;TZID=America/Toronto:20160107T153000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20160107T153000
URL:https://uwaterloo.ca/chemical-engineering/events/seminar-learning-compl
 ex-process-systems-data-aditya-tulsyan
LOCATION:E6-2024 Canada
SUMMARY:Seminar - “Learning Complex Process Systems from Data”\, by Adi
 tya\nTulsyan\, Process Systems Engineering Laboratory\, Massachusetts\nIns
 titute of Technology\, Cambridge\, MA\, USA
CLASS:PUBLIC
DESCRIPTION:ABSTRACT:  With the advent of the Internet of Things (IoT)\, s
 mart\ndevices and smart manufacturing\, the amount of data collection has\
 ngrown exponentially in a manner analogous to the Moore's law. The\nexplos
 ion in data availability\, variety and size have enabled\nengineering\, me
 dicine\, science and finance to heavily invest in\ndata-based learning pro
 jects. Some of the successful learning\nprojects\, include The Human Genom
 e Project\, Google Flu Trends\, Tesla\nSelf-Driving Car Project and GE Ind
 ustrial IoT.
DTSTAMP:20260430T062907Z
END:VEVENT
END:VCALENDAR