The Artist in the Machine

The Artist in the Machine
Author :
Publisher : MIT Press
Total Pages : 429
Release :
ISBN-10 : 9780262042857
ISBN-13 : 0262042851
Rating : 4/5 (57 Downloads)

Book Synopsis The Artist in the Machine by : Arthur I. Miller

Download or read book The Artist in the Machine written by Arthur I. Miller and published by MIT Press. This book was released on 2019-10-01 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations of humans. Today's computers are composing music that sounds “more Bach than Bach,” turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative—or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines. Miller, an authority on creativity, identifies the key factors essential to the creative process, from “the need for introspection” to “the ability to discover the key problem.” He talks to people on the cutting edge of artificial intelligence, encountering computers that mimic the brain and machines that have defeated champions in chess, Jeopardy!, and Go. In the central part of the book, Miller explores the riches of computer-created art, introducing us to artists and computer scientists who have, among much else, unleashed an artificial neural network to create a nightmarish, multi-eyed dog-cat; taught AI to imagine; developed a robot that paints; created algorithms for poetry; and produced the world's first computer-composed musical, Beyond the Fence, staged by Android Lloyd Webber and friends. But, Miller writes, in order to be truly creative, machines will need to step into the world. He probes the nature of consciousness and speaks to researchers trying to develop emotions and consciousness in computers. Miller argues that computers can already be as creative as humans—and someday will surpass us. But this is not a dystopian account; Miller celebrates the creative possibilities of artificial intelligence in art, music, and literature.

Art in the Age of Machine Learning

Art in the Age of Machine Learning
Author :
Publisher : MIT Press
Total Pages : 215
Release :
ISBN-10 : 9780262367103
ISBN-13 : 0262367106
Rating : 4/5 (03 Downloads)

Book Synopsis Art in the Age of Machine Learning by : Sofian Audry

Download or read book Art in the Age of Machine Learning written by Sofian Audry and published by MIT Press. This book was released on 2021-11-23 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: An examination of machine learning art and its practice in new media art and music. 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. 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.

Machine Art in the Twentieth Century

Machine Art in the Twentieth Century
Author :
Publisher : MIT Press
Total Pages : 400
Release :
ISBN-10 : 9780262035064
ISBN-13 : 0262035065
Rating : 4/5 (64 Downloads)

Book Synopsis Machine Art in the Twentieth Century by : Andreas Broeckmann

Download or read book Machine Art in the Twentieth Century written by Andreas Broeckmann and published by MIT Press. This book was released on 2016-12-23 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: An investigation of artists' engagement with technical systems, tracing art historical lineages that connect works of different periods. “Machine art” is neither a movement nor a genre, but encompasses diverse ways in which artists engage with technical systems. In this book, Andreas Broeckmann examines a variety of twentieth- and early twenty-first-century artworks that articulate people's relationships with machines. In the course of his investigation, Broeckmann traces historical lineages that connect art of different periods, looking for continuities that link works from the end of the century to developments in the 1950s and 1960s and to works by avant-garde artists in the 1910s and 1920s. An art historical perspective, he argues, might change our views of recent works that seem to be driven by new media technologies but that in fact continue a century-old artistic exploration. Broeckmann investigates critical aspects of machine aesthetics that characterized machine art until the 1960s and then turns to specific domains of artistic engagement with technology: algorithms and machine autonomy, looking in particular at the work of the Canadian artist David Rokeby; vision and image, and the advent of technical imaging; and the human body, using the work of the Australian artist Stelarc as an entry point to art that couples the machine to the body, mechanically or cybernetically. Finally, Broeckmann argues that systems thinking and ecology have brought about a fundamental shift in the meaning of technology, which has brought with it a rethinking of human subjectivity. He examines a range of artworks, including those by the Japanese artist Seiko Mikami, whose work exemplifies the shift.

Machine in the Studio

Machine in the Studio
Author :
Publisher : University of Chicago Press
Total Pages : 582
Release :
ISBN-10 : 0226406490
ISBN-13 : 9780226406497
Rating : 4/5 (90 Downloads)

Book Synopsis Machine in the Studio by : Caroline A. Jones

Download or read book Machine in the Studio written by Caroline A. Jones and published by University of Chicago Press. This book was released on 1996 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on extensive interviews with artists and their assistants as well as close readings of artworks, Jones explains that much of the major work of the 1960s was compelling precisely because it was "mainstream" - central to the visual and economic culture of its time.

The Machine as Art/ The Machine as Artist

The Machine as Art/ The Machine as Artist
Author :
Publisher : Mdpi AG
Total Pages : 316
Release :
ISBN-10 : 3039360647
ISBN-13 : 9783039360642
Rating : 4/5 (47 Downloads)

Book Synopsis The Machine as Art/ The Machine as Artist by : Juliette Bessette

Download or read book The Machine as Art/ The Machine as Artist written by Juliette Bessette and published by Mdpi AG. This book was released on 2020-10-21 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles collected in this volume from the two companion Arts Special Issues, "The Machine as Art (in the 20th Century)" and "The Machine as Artist (in the 21st Century)", represent a unique scholarly resource: analyses by artists, scientists, and engineers, as well as art historians, covering not only the current (and astounding) rapprochement between art and technology but also the vital post-World War II period that has led up to it; this collection is also distinguished by several of the contributors being prominent individuals within their own fields, or as artists who have actually participated in the still unfolding events with which it is concerned

Painting Machine

Painting Machine
Author :
Publisher :
Total Pages : 176
Release :
ISBN-10 : 1527237419
ISBN-13 : 9781527237414
Rating : 4/5 (19 Downloads)

Book Synopsis Painting Machine by : Guy Shoham

Download or read book Painting Machine written by Guy Shoham and published by . This book was released on 2019-04 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Beyond the Creative Species

Beyond the Creative Species
Author :
Publisher : MIT Press
Total Pages : 417
Release :
ISBN-10 : 9780262045018
ISBN-13 : 026204501X
Rating : 4/5 (18 Downloads)

Book Synopsis Beyond the Creative Species by : Oliver Bown

Download or read book Beyond the Creative Species written by Oliver Bown and published by MIT Press. This book was released on 2021-02-23 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: A multidisciplinary introduction to the field of computational creativity, analyzing the impact of advanced generative technologies on art and music. As algorithms get smarter, what role will computers play in the creation of music, art, and other cultural artifacts? Will they be able to create such things from the ground up, and will such creations be meaningful? In Beyond the Creative Species, Oliver Bown offers a multidisciplinary examination of computational creativity, analyzing the impact of advanced generative technologies on art and music. Drawing on a wide range of disciplines, including artificial intelligence and machine learning, design, social theory, the psychology of creativity, and creative practice research, Bown argues that to understand computational creativity, we must not only consider what computationally creative algorithms actually do, but also examine creative artistic activity itself.