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Can I read Disruptive Technologies in Media, Arts and Design : A Collection of Innovative Research Case-Studies That Explore the Use of Artificial Intelligence and Blockchain Within the Media, Arts and Design Sector on EtoBox?

Disruptive Technologies in Media, Arts and Design : A Collection of Innovative Research Case-Studies That Explore the Use of Artificial Intelligence and Blockchain Within the Media, Arts and Design Sector by Alexiei Dingli; Alexander Pfeiffer; Alesha Serada; Mark Bugeja; Stephen Bezzina; MAD Blockchain (Conference); MAD Artificial Intelligence (Conference) is a nonfiction available to read on EtoBox.

What is Disruptive Technologies in Media, Arts and Design : A Collection of Innovative Research Case-Studies That Explore the Use of Artificial Intelligence and Blockchain Within the Media, Arts and Design Sector about?

This book presents selected proceedings from two installments of the MAD Conference in 2020―MAD Blockchain 2020 and MAD Artificial Intelligence 2020. These events focused on applications of these novel technologies in media, arts and design. A number of researchers present their own projects and practical implementations of blockchain and AI in games, art, education and sustainable living, while other authors explore theoretical and ethical questions that these technologies bring into society. First and foremost, we recommend this book to aspiring scholars and practitioners who are also building new solutions using blockchain and AI. Besides, the book extends the existing scholarship on AI and blockchain and provides proven cases and tools for education in ICT. The conference has been organized by Danube-University Krems, Drexel University Philadelphia and University of Malta with support from the MIT Education Arcade, the Texas A&M LIVE Lab and University of Vaasa.

Who reads Disruptive Technologies in Media, Arts and Design : A Collection of Innovative Research Case-Studies That Explore the Use of Artificial Intelligence and Blockchain Within the Media, Arts and Design Sector?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Alexiei Dingli; Alexander Pfeiffer; Alesha Serada; Mark Bugeja; Stephen Bezzina; MAD Blockchain (Conference); MAD Artificial Intelligence (Conference)
Publisher
Springer International Publishing : Imprint: Springer
Published
2022
Language
EN
ISBN
9783030937805
Category
nonfiction
Subjects
Engineering, Technology, Science

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