Review
Audry puts machine learning in historical context and provocatively argues for its unique artistic potential. This book is tremendously useful to scholars and artists alike as a source of theoretical footholds and methodological guidance.
Allison Parrish, Assistant Arts Professor, NYU ITP/IMA
Sofian Audry powerfully demonstrates that artists imagination, labor, and acute social-political awareness is alive and well in our age of machine learning.
Chris Salter, Professor of Computation Arts, Concordia University, Montreal; author of Entangled
The capacity to learn, adapt, even innovate or create has become a deep issue in machine learning art. Audry plumbs the theoretical and ethical dimensions of these matters in this deep dive into behavior, adaptivity, and metamorphosis in computational systems.
Simon Penny, Professor, University of California, Irvine; author of Making Sense
Allison Parrish, Assistant Arts Professor, NYU ITP/IMA
Sofian Audry powerfully demonstrates that artists imagination, labor, and acute social-political awareness is alive and well in our age of machine learning.
Chris Salter, Professor of Computation Arts, Concordia University, Montreal; author of Entangled
The capacity to learn, adapt, even innovate or create has become a deep issue in machine learning art. Audry plumbs the theoretical and ethical dimensions of these matters in this deep dive into behavior, adaptivity, and metamorphosis in computational systems.
Simon Penny, Professor, University of California, Irvine; author of Making Sense
About the Author
Sofian Audry is an artist, scholar, and Professor of Interactive Media within the School of Media at Universit du Qubec Montral.
Similar Books
Other Authors' Books
Other Publishing Books
User Reviews
Rating
average 0