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Artificial Music
Artificial Music
11,87 €
13,19 €
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Can processors now make better music than human producers? How do algorithms alter a sense of authorship? Be it in the home studio, on streaming platforms or in the corporate business plans of global companies, artificial intelligence is defining the sound of the future. The essays in Artificial Music focus on the key developments, extending beyond practical digital little helpers. They examine the balance between humans and machine learning and the process that enables non-human creativity to…
11.87 2024-04-21 23:59:00
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Artificial Music | knygos.lt

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Can processors now make better music than human producers? How do algorithms alter a sense of authorship? Be it in the home studio, on streaming platforms or in the corporate business plans of global companies, artificial intelligence is defining the sound of the future. The essays in Artificial Music focus on the key developments, extending beyond practical digital little helpers. They examine the balance between humans and machine learning and the process that enables non-human creativity to become a resonance chamber for new synergies. What sound might be produced in the dialogue between man and machine? With contributions by Laura Aha, Douglas R. Hofstadter, Zola Jesus, George E. Lewis, and Tiara Roxanne, as well as texts and images generated by the AI software programs Poetizer and VQGAN+CLIP.

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Can processors now make better music than human producers? How do algorithms alter a sense of authorship? Be it in the home studio, on streaming platforms or in the corporate business plans of global companies, artificial intelligence is defining the sound of the future. The essays in Artificial Music focus on the key developments, extending beyond practical digital little helpers. They examine the balance between humans and machine learning and the process that enables non-human creativity to become a resonance chamber for new synergies. What sound might be produced in the dialogue between man and machine? With contributions by Laura Aha, Douglas R. Hofstadter, Zola Jesus, George E. Lewis, and Tiara Roxanne, as well as texts and images generated by the AI software programs Poetizer and VQGAN+CLIP.

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