Author: M. Budd Publisher: Springer ISBN: 0230377122 Category : History Languages : en Pages : 218
Book Description
The Sculpture Machine portrays the dramatic revolution in bodily representation, ideas and pleasures that characterized the century encompassing the twilight of Romanticism and the dawn of Totalitarianism. It explains how character, environment and morality were linked through bodies by prominent social reformers, politicians, military leaders and innovative entrepreneurs. With a thought provoking analysis, it illustrates how ideas about bodies influenced the building of social, gender and sexual identities in concert with the construction of a larger consumer culture.
Author: Jennifer Jane Marshall Publisher: University of Chicago Press ISBN: 0226507173 Category : Art Languages : en Pages : 240
Book Description
In 1934, New York’s Museum of Modern Art staged a major exhibition of ball bearings, airplane propellers, pots and pans, cocktail tumblers, petri dishes, protractors, and other machine parts and products. The exhibition, titled Machine Art, explored these ordinary objects as works of modern art, teaching museumgoers about the nature of beauty and value in the era of mass production. Telling the story of this extraordinarily popular but controversial show, Jennifer Jane Marshall examines its history and the relationship between the museum’s director, Alfred H. Barr Jr., and its curator, Philip Johnson, who oversaw it. She situates the show within the tumultuous climate of the interwar period and the Great Depression, considering how these unadorned objects served as a response to timely debates over photography, abstract art, the end of the American gold standard, and John Dewey’s insight that how a person experiences things depends on the context in which they are encountered. An engaging investigation of interwar American modernism, Machine Art, 1934 reveals how even simple things can serve as a defense against uncertainty.
Author: Sofian Audry Publisher: MIT Press ISBN: 0262367106 Category : Art Languages : en Pages : 215
Book Description
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.
Author: Norman Matloff Publisher: No Starch Press ISBN: 1718502109 Category : Computers Languages : en Pages : 271
Book Description
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
Author: Museum of Modern Art (New York, N.Y.) Publisher: ISBN: 9780870701351 Category : Technology & Engineering Languages : en Pages : 124
Book Description
In 1934 the five-year-old Museum of Modern Art, New York, opened an exhibition of machine-inspired design. Some 100 objects formed the basis for this collection of new ideas in modern design for industrial, commercial and domestic objects.
Author: Andreas Broeckmann Publisher: MIT Press ISBN: 0262035065 Category : Art Languages : en Pages : 400
Book Description
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.
Author: Grant D. Taylor Publisher: Bloomsbury Publishing USA ISBN: 1623565618 Category : Social Science Languages : en Pages : 353
Book Description
Considering how culturally indispensable digital technology is today, it is ironic that computer-generated art was attacked when it burst onto the scene in the early 1960s. In fact, no other twentieth-century art form has elicited such a negative and hostile response. When the Machine Made Art examines the cultural and critical response to computer art, or what we refer to today as digital art. Tracing the heated debates between art and science, the societal anxiety over nascent computer technology, and the myths and philosophies surrounding digital computation, Taylor is able to identify the destabilizing forces that shape and eventually fragment the computer art movement.
Author: Damith Herath Publisher: Springer ISBN: 9811003211 Category : Technology & Engineering Languages : en Pages : 456
Book Description
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.
Author: M. Budd
Author: Michael Anton Budd
Author: Jennifer Jane Marshall
Author: Michael Anton Budd
Author: Sofian Audry
Author: Norman Matloff
Author: Museum of Modern Art (New York, N.Y.)
Author: Andreas Broeckmann
Author: Grant D. Taylor
Author: Damith Herath