Art in the age of Machine Learning. (Record no. 61435)

MARC details
000 -LEADER
fixed length control field 02456nam a22002417a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240210141309.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240210b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262046183
028 ## - DISTRIBUTOR NAME
Distributor Name : Technical Bureau India
Distributor address : E/261, Shastri Nagar, Delhi
Bill Number : TB3707
Bill Date : 08/02/2024
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 776 AUD
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Audry, Sofian.
245 ## - TITLE STATEMENT
Title Art in the age of Machine Learning.
Statement of responsibility, etc / Sofian Audry.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc , London
Name of publisher, distributor, etc : MIT Press
Date of publication, distribution, etc , 2021.
300 ## - PHYSICAL DESCRIPTION
Extent xi,193p.
Dimensions : 24cm.
365 ## - TRADE PRICE
Price amount 2693
520 ## - SUMMARY, ETC.
Summary, etc Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art.<br/><br/>Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element New media art
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Fundamental design of machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithmic
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Sofian Audry
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan SNU LIBRARY SNU LIBRARY 10/02/2024 Technical Bureau 2693.00   776 AUD 30043 10/02/2024 10/02/2024 Books
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