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VERSION:2.0
PRODID:Linklings LLC
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TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20250522T212752Z
LOCATION:Mile High Pre-Function Area
DTSTART;TZID=America/Denver:20240729T090000
DTEND;TZID=America/Denver:20240729T173000
UID:siggraph_SIGGRAPH 2024_sess394_pos_244@linklings.com
SUMMARY:18. Zeitgeist - A deep learning visualization of Social Flow
DESCRIPTION:Oliver Gingrich (University of Greenwich); Shama Rahman (Unive
 rsity of Edinburgh, NeuroCreate Ltd.); and Daniel Hignell-Tully (Universit
 y of Greenwich)\n\nZeitgeist - the participatory artwork uses deep-learnin
 g algorithms to indicate creative ‘Flow’ mental states visualised on a hol
 ographic Pepper’s ghost display. Based on real-time analysis of physiologi
 cal brainwave data through deep-learning algorithms, participants visually
  experience the probability of being in Flow - a mental state of creative 
 peak performance.\n\nRegistration Category: Full Conference, Full Conferen
 ce Supporter, Experience, Exhibitor Full Conference, Exhibitor Experience\
 n\n
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