DeepAesthetics: Computational Experience in a Time of Machine Learning - Rilegato

Munster, Anna

Rilegato

ISBN 10: 1478028335 ISBN 13: 9781478028338

Casa editrice: Duke University Press, 2025

Riassunto

Computation has now been reconfigured by machine learning: those technical processes and operations that yoke together statistics and computer science to create artificial intelligence (AI) by furnishing vast datasets to learn tasks and predict outcomes. In DeepAesthetics, Anna Munster examines the range of more-than-human experiences this transformation has engendered and considers how those experiences can be qualitative as well as quantitative. Drawing on process philosophy, Munster approaches computational experience through its relations and operations. She combines deep learning-the subfield of machine learning that uses neural network architectures-and aesthetics to offer a way to understand the insensible and frequently imperceptible forms of nonlinear and continuously modulating statistical function. Attending to the domains and operations of image production, statistical racialization, AI conversational agents, and critical AI art, Munster analyzes how machine learning is operationally entangled with racialized, neurotypical, and cognitivist modes of producing knowledge and experience. She approaches machine learning as events through which a different sensibility registers, one in which AI is populated by oddness, disjunctions, and surprises, and where artful engagement with machine learning fosters indeterminate futures.

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Informazioni sugli autori

Anna Munster is Professor in the School of Art and Design at the University of New South Wales and author of An Aesthesia of Networks: Conjunctive Experience in Art and Technology and Materializing New Media: Embodiment in Information Aesthetics.

Anna Munster is Professor in the School of Art and Design at the University of New South Wales and author of An Aesthesia of Networks: Conjunctive Experience in Art and Technology and Materializing New Media: Embodiment in Information Aesthetics.

Dettagli dell'edizione

• Editore: Duke University Press
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 1478028335
• ISBN 13: 9781478028338
• Rilegatura: Copertina rigida
• Numero di pagine: 240
• Contatto del produttore: non disponibile
• Persona responsabile: Mare Nostrum Group B.V.; gpsr@mare-nostrum.co.uk; ; Doelen 72; Breda; 4831 GR; Paesi Bassi