Generative Art: Between the Nodes of Neuron Networks

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http://urn.fi/URN:NBN:fi-fe2020081252689

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Artnodes, no. 26 (2020)

Title: Generative Art: Between the Nodes of Neuron Networks
Author: Caldas Vianna, Bruno
Date: 2020
ISSN: 1695-5951
URI: http://hdl.handle.net/10138/318287
URN:NBN:fi-fe2020081252689
Electronic publication: https://artnodes.uoc.edu/articles/abstract/10.7238/a.v0i26.3350/
Abstract: This article uses the exhibition “Infinite Skulls”, which happened in Paris in the beginning of 2019, as a starting point to discuss art created by artificial intelligence and, by extension, unique pieces of art generated by algorithms. We detail the development of DCGAN, the deep learning neural network used in the show, from its cybernetics origin. The show and its creation process are described, identifying elements of creativity and technique, as well as question of the authorship of works. Then it frames these works in the context of generative art, pointing affinities and differences, and the issues of representing through procedures and abstractions. It describes the major breakthrough of neural network for technical images as the ability to represent categories through an abstraction, rather than images themselves. Finally, it tries to understand neural networks more as a tool for artists than an autonomous art creator.
Subject (ysa): tekoäly
koneoppiminen
representaatio
algoritmit
aura (rajatieto)
hermoverkot (biologia)
Subject (allärs): artificiell intelligens
maskinlärning
representation (teorier)
algoritmer
aura (ockulta fenomen)
nervnät
Subject (lcsh): Artificial intelligence.
Machine learning.
Representation
Algorithms.
Aura.
Neural networks (Neurobiology)
Rights: This publication is work protected by copyright. You may download, display and print it for Your own personal use. Commercial use is prohibited.


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