[PDF] The Inspiration Machine eBook

Author : Eitan Y. Wilf
Publisher : University of Chicago Press
Page : 272 pages
File Size : 28,87 MB
Release : 2023-11-24
Category : Social Science
ISBN : 0226828328

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Explores how creative digital technologies and artificial intelligence are embedded in culture and society. In The Inspiration Machine, Eitan Y. Wilf explores the transformative potentials that digital technology opens up for creative practice through three ethnographic cases, two with jazz musicians and one with a group of poets. At times dissatisfied with the limitations of human creativity, these artists do not turn to computerized algorithms merely to execute their preconceived ideas. Rather, they approach them as creative partners, delegating to them different degrees of agentive control and artistic decision-making in the hopes of finding inspiration in their output and thereby expanding their own creative horizons. The algorithms these artists develop and use, however, remain rooted in and haunted by the specific social predicaments and human shortfalls that they were intended to overcome. Experiments in the digital thus hold an important lesson: although Wilf’s interlocutors returned from their adventures with computational creativity with modified, novel, and enriched capacities and predilections, they also gained a renewed appreciation for, and at times a desire to re-inhabit, non-digital creativity. In examining the potentials and pitfalls of seemingly autonomous digital technologies in the realm of art, Wilf shows that computational solutions to the real or imagined insufficiencies of human practice are best developed in relation to, rather than away from, the social and cultural contexts that gave rise to those insufficiencies, in the first place.

Author : Sofian Audry
Publisher : MIT Press
Page : 215 pages
File Size : 37,22 MB
Release : 2021-11-23
Category : Art
ISBN : 0262367106

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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 : Natalie Fergie
Publisher : Unbound Publishing
Page : 384 pages
File Size : 23,57 MB
Release : 2017-04-17
Category : Fiction
ISBN : 1911586246

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Over 100,000 copies sold 'A tapestry of strong characters and accomplished writing' Herald Scotland It is 1911, and Jean is about to join the mass strike at the Singer factory. For her, nothing will be the same again. Decades later, in Edinburgh, Connie sews coded moments of her life into a notebook, as her mother did before her. More than a hundred years after his grandmother’s sewing machine was made, Fred discovers a treasure trove of documents. His family history is laid out before him in a patchwork of unfamiliar handwriting and colourful seams. He starts to unpick the secrets of four generations, one stitch at a time.

Author : Dario Floreano
Publisher : MIT Press
Page : 674 pages
File Size : 25,51 MB
Release : 2023-04-04
Category : Computers
ISBN : 0262547732

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A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.

Author : American Institute of Mining and Metallurgical Engineers
Publisher :
Page : 1132 pages
File Size : 25,22 MB
Release : 1916
Category : Mineral industries
ISBN :

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Issues for 1905-1919 include papers published subsequently in revised form in the institute's Transactions.