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DTSTART;TZID=America/New_York:20161013T170000
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UID:27843-1476378000-1476378000@cms.mit.edu
SUMMARY:How Did the Computer Learn to See?
DESCRIPTION:Alexander GallowayPhoto by Ivan Brodey\nHow did the computer learn to see? A common response to the question is that the computer learned to see from cinema and photography\, that is\, from modernity’s most highly evolved technologies of vision. In this talk we will explore a different response to the question\, that the computer learned to see not from cinema but from sculpture. With reference to the work of artists Sarah Oppenheimer and Zach Blas\, along with techniques for digital image compression\, we will explore the uniquely computational mode of vision. \nAlexander Galloway is a writer and computer programmer working on issues in philosophy\, technology\, and theories of mediation. He is author of several books\, most recently a monograph on the work of François Laruelle\, and is currently a visiting professor in the Department of Visual and Environmental Studies at Harvard University.
URL:https://cms.mit.edu/event/alexander-galloway-computer-learn-see/
LOCATION:MIT Building 3\, Room 133\, 33 Massachusetts Ave\, Cambridge\, MA\, 02139\, United States
CATEGORIES:Colloquium
ATTACH;FMTTYPE=image/jpeg:https://cms.mit.edu/wp/wp-content/uploads/2016/09/Alexander-Galloway.jpg
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