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UID:01a1989d-2cca-70e3-9f33-4bd98f8ea1ca@www.devopschat.co
DTSTAMP:20261106T122200Z
DTSTART:20221012T153000Z
DTEND:20221012T163000Z
SUMMARY:Algorithmically Generated Visual Designs
DESCRIPTION:Michael Wehar\, Visiting Assistant Professor of Computer Scienc
 e at Swarthmore College\, will present.\n\n"This past summer\, I worked wi
 th two undergraduate students (Alyssa Zhang and Maya Newman-Toker) and one
  software engineer (John Mancini) on a research project that investigates 
 computer generated artwork. During this investigation\, we designed and im
 plemented nine algorithms that generate visual designs. Our algorithms\, c
 oded in JavaScript\, are built from procedural processes that draw lines a
 nd basic shapes onto a digital canvas. These procedural processes were ins
 pired by mathematical concepts\, natural phenomena\, and artistic trends\,
  but contain many parameters to allow for image variation. We used our alg
 orithms to build a dataset of over 1\,000 algorithmically generated artwor
 ks\, which we recruited reviewers to compare and rate. We plan to analyze 
 the reviewers' ratings to find associations between different parameteriza
 tions of our algorithms and the response of reviewers to the resulting ima
 ges."\n\nThis talk will be streamed on our [YouTube ](https://youtube.com/
 c/codeandsupplyco/live)and [Twitch ](https://twitch.tv/codeandsupply)chann
 els.\n\nhttps://www.devopschat.co/meetings/algorithmically-generated-visua
 l-designs
URL:https://www.devopschat.co/meetings/algorithmically-generated-visual-des
 igns
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