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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20250522T212945Z
LOCATION:Exhibit Hall F
DTSTART;TZID=America/Denver:20240728T133000
DTEND;TZID=America/Denver:20240728T170000
UID:siggraph_SIGGRAPH 2024_sess284_artgc_105@linklings.com
SUMMARY:Codex
DESCRIPTION:Sarah Rosalena\n\nLetterform (2017) is a series of A.I.-genera
 ted letters that explore the limits of written language systems to the poi
 nt where they break down beyond the compromised inherited structures of co
 mputation. Each form was generated with a recurrent neural network (Google
 ’s Sketch RNN model) trained with an input of a database of written world 
 alphabet letters, mainly Indigenous and non-Western, to produce new letter
 s as memorials of what is lost, mediated by programmed code languages, the
 n coded into machine intelligence. The forms contain hundreds of artifacts
  from tracing alphabet letters as vector points, to stroke-based drawings 
 as “handwriting,” training the computer to remember languages other than R
 oman English, over one million times, with intelligence to generate new le
 tterforms. The A.I. model generates new letterforms, understanding each ve
 ctor point as a squiggle, creating emergent and disobedient forms open for
  intepretation.\n\nInterest Area: Arts & Design\n\nKeyword: Art, Design, D
 igital Arts, Display\n\nRegistration Category: Full Conference, Full Confe
 rence Supporter, Experience, Exhibitor Full Conference, Exhibitor Experien
 ce\n\n
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