Opening book details…
Can I read Art in the Age of Machine Learning (Leonardo) on EtoBox?
Art in the Age of Machine Learning (Leonardo) by Sofian Audry, Yoshua Bengio is a nonfiction available to read on EtoBox.
What is Art in the Age of Machine Learning (Leonardo) about?
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, includ
Who reads Art in the Age of Machine Learning (Leonardo)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sofian Audry, Yoshua Bengio
- Publisher
- The MIT Press
- Published
- 2021
- Language
- EN
- ISBN
- 9780262367103
- Category
- nonfiction
- Subjects
- Art, Computer Science, Photography
More by Sofian Audry, Yoshua Bengio
Browse all works by Sofian Audry, Yoshua Bengio
Similar books
- Machine Art in the Twentieth Century (Leonardo) — Andreas Broeckmann (2017)
- The Art of Machine Learning: A Hands-On Guide to Machine Learning with R — Norman Matloff (2023)
- Quantum Chemistry in the Age of Machine Learning — Pavlo O. Dral (2022)
- STATE-OF-THE-ART DEEP LEARNING MODELS IN TENSORFLOW : Modern Machine Learning in The... Google Colab Ecosystem — David Paper (2021)
- Machine Learning for Criminology and Crime Research: At the Crossroads — Gian Maria Campedelli (2022)
- Computational Formalism : Art History and Machine Learning — Amanda Wasielewski (2023)