Художественные особенности произведений компьютерного искусства, созданных с использованием технологий машинного обучения

Артикульт. 2022. № 4(48). С. 36–48.

Milovidov S.

This article has analyzed the artworks, the general creative principles, and approaches connected with machine learning and neural networks. The idea that the computer can replace humans for deciding routine, algorithmic, and even analytical tasks, has raised the question about the uses of machines for creative jobs. This process forms new possibilities, non-obvious images, themes, and expressions, which require the addition and refinement of the classification of computer art. As a result, artists have found another system for describing reality represented in the artworks. From 2018-2021 many artists such as Mario Klingemann, Gene Kogan, Vadim Epstein, Anna Ridler, and Memo Akten used machine learning in their art practice. Their artworks in this genre have been to the biennales or many contemporary art exhibitions in Austria, the USA, Russia, Switzerland, Germany, etc.

Keywords: машинное обучение, нейронные сети, neural networks, machine learning, видеоарт, video art, компьютерное искусство, computer art, glitch art, глитч-арт