Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Fine.
Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Very Good.
Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: New.
EUR 96,64
Quantità: 3 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
EUR 131,59
Quantità: 2 disponibili
Aggiungi al carrelloHardback. Condizione: New. 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.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 114,65
Quantità: 3 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 129,69
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: new.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 123,26
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 141,84
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2025. hardcover. . . . . .
Da: Revaluation Books, Exeter, Regno Unito
EUR 148,27
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 248 pages. 9.00x6.00x9.30 inches. In Stock.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 141,32
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Condizione: New. 2025. hardcover. . . . . . Books ship from the US and Ireland.
EUR 123,27
Quantità: 2 disponibili
Aggiungi al carrelloHardback. Condizione: New. 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.