The Artist In The Machine


The Artist In The Machine
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The Artist In The Machine


The Artist In The Machine
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Author : Arthur I. Miller
language : en
Publisher: MIT Press
Release Date : 2020-11-10

The Artist In The Machine written by Arthur I. Miller and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-10 with Computers categories.


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
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Author : Sofian Audry
language : en
Publisher: MIT Press
Release Date : 2021-11-23

Art In The Age Of Machine Learning written by Sofian Audry and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-23 with Art categories.


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
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Author : Andreas Broeckmann
language : en
Publisher: MIT Press
Release Date : 2016-12-23

Machine Art In The Twentieth Century written by Andreas Broeckmann and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-23 with Art categories.


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.



Robots And Art


Robots And Art
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Author : Damith Herath
language : en
Publisher: Springer
Release Date : 2016-05-04

Robots And Art written by Damith Herath and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-04 with Technology & Engineering categories.


The first compendium on robotic art of its kind, this book explores the integration of robots into human society and our attitudes, fears and hopes in a world shared with autonomous machines. It raises questions about the benefits, risks and ethics of the transformative changes to society that are the consequence of robots taking on new roles alongside humans. It takes the reader on a journey into the world of the strange, the beautiful, the uncanny and the daring – and into the minds and works of some of the world’s most prolific creators of robotic art. Offering an in-depth look at robotic art from the viewpoints of artists, engineers and scientists, it presents outstanding works of contemporary robotic art and brings together for the first time some of the most influential artists in this area in the last three decades. Starting from a historical review, this transdisciplinary work explores the nexus between robotic research and the arts and examines the diversity of robotic art, the encounter with robotic otherness, machine embodiment and human–robot interaction. Stories of difficulties, pitfalls and successes are recalled, characterising the multifaceted collaborations across the diverse disciplines required to create robotic art. Although the book is primarily targeted towards researchers, artists and students in robotics, computer science and the arts, its accessible style appeals to anyone intrigued by robots and the arts.



Beyond The Creative Species


Beyond The Creative Species
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Author : Oliver Bown
language : en
Publisher: MIT Press
Release Date : 2021-02-23

Beyond The Creative Species written by Oliver Bown and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-23 with Computers categories.


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.



Machine In The Studio


Machine In The Studio
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Author : Caroline A. Jones
language : en
Publisher: University of Chicago Press
Release Date : 1996

Machine In The Studio written by Caroline A. Jones and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Art categories.


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.



Painting Machine


Painting Machine
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Author : Guy Shoham
language : en
Publisher:
Release Date : 2019-04

Painting Machine written by Guy Shoham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04 with categories.




The Art Of Machine Learning


The Art Of Machine Learning
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Author : Norman Matloff
language : en
Publisher: No Starch Press
Release Date : 2024-01-09

The Art Of Machine Learning written by Norman Matloff and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-09 with Computers categories.


Learn to expertly apply a range of machine learning methods to real data with this practical guide. Packed with real datasets and practical examples, The Art of Machine Learning will help you develop an intuitive understanding of how and why ML methods work, without the need for advanced math. As you work through the book, you’ll learn how to implement a range of powerful ML techniques, starting with the k-Nearest Neighbors (k-NN) method and random forests, and moving on to gradient boosting, support vector machines (SVMs), neural networks, and more. With the aid of real datasets, you’ll delve into regression models through the use of a bike-sharing dataset, explore decision trees by leveraging New York City taxi data, and dissect parametric methods with baseball player stats. You’ll also find expert tips for avoiding common problems, like handling “dirty” or unbalanced data, and how to troubleshoot pitfalls. You’ll also explore: How to deal with large datasets and techniques for dimension reduction Details on how the Bias-Variance Trade-off plays out in specific ML methods Models based on linear relationships, including ridge and LASSO regression Real-world image and text classification and how to handle time series data Machine learning is an art that requires careful tuning and tweaking. With The Art of Machine Learning as your guide, you’ll master the underlying principles of ML that will empower you to effectively use these models, rather than simply provide a few stock actions with limited practical use. Requirements: A basic understanding of graphs and charts and familiarity with the R programming language



Ai Art


Ai Art
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Author : Joanna Zylinska
language : en
Publisher:
Release Date : 2020-07-15

Ai Art written by Joanna Zylinska and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-15 with categories.


In AI Art, Joanna Zylinska cuts through the smoke and mirrors surrounding the current narratives of computation, robotics and Artificial Intelligence. Offering a critique of the political underpinnings of AI and its dominant aesthetics, this book raises broader questions about the conditions of art making, creativity and labour today.



The Atlas Of Ai


The Atlas Of Ai
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Author : Kate Crawford
language : en
Publisher: Yale University Press
Release Date : 2021-04-06

The Atlas Of Ai written by Kate Crawford and has been published by Yale University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Computers categories.


The hidden costs of artificial intelligence, from natural resources and labor to privacy and freedom What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, award-winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind "automated" services, to the data AI collects from us. Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.