machine intelligence – Artificial Intelligence https://ars.electronica.art/ai/en Ars Electronica Festival 2017 Tue, 28 Jun 2022 13:43:24 +0000 en-US hourly 1 https://wordpress.org/?v=4.9.6 Archive Dreaming https://ars.electronica.art/ai/en/archive-dreaming/ Fri, 18 Aug 2017 06:55:53 +0000 https://ars.electronica.art/ai/?p=1694

Refik Anadol (TR)

Commissioned to work with SALT Research collections, the artist Refik Anadol employed machine-learning algorithms to search and sort relations among 1.7 million documents. Interactions of the multidimensional data found in the archives are, in turn, translated into an immersive media installation.

Archive Dreaming, which was first presented at SALT Galata, is user-driven; however, when idle, the installation “dreams” of unexpected correlations among documents.

In this project, a temporary architectural space is created as a blank slate for light and data to be applied as materials that form a volume of an archive visualized with machine intelligence. By training a neural network with images of documents, Archive Dreaming reframes memory, history and culture within the understanding of a museum for the 21st century.

Credits

As part of the five-year program The Uses of Art—The Legacy of 1848 and 1989, organized by L’Internationale, Archive Dreaming was realized with the support of Google’s AMI program.

SALT Research and programs: Vasıf Kortun, Meriç Öner, Cem Yıldız, Adem Ayaz, Başak Çaka, Merve Elveren, Ari Algosyan, Dilge Eraslan, Sani Karamustafa

Google’s AMI program: Mike Tyka, Kenric McDowell, Andrea Held, Jac de Haan

Refik Anadol studio members and collaborators: Raman K. Mustafa, Toby Heinemann, Nick Boss, Kian Khiaban, Ho Man Leung, Sebastian Neitsch, David Gann, Kerim Karaoglu, Sebastian Huber

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