“Unsupervised — Data Universe — MoMA” is a global AI data painting that simulates a latent walk among the museum’s digitized collection. The artist and his team used MoMA archives to construct the seven dimensions of the artwork: x, y, z, r, g, b, and time. It combines Anadol’s vision of handling data within a universe that it creates for itself with his approach to data visualization’s latent space as a locus for never-ending, self-generating contemplation. Researcher Leland McInnes, the inventor of the UMAP technique that Anadol has used for “Unsupervised — Data Universe — MoMA” wrote, “I have always found beauty in mathematics, but to see what Refik has done with mathematics and these algorithms to create art is something else again: bringing together rich threads of information and data to weave amazing visual works. I never imagined that my work in mathematics could have such far reaching impacts.”
Name
Unsupervised — Data Universe — MoMA #4918
Owner
0xEbeC042Df1A06Fd2c4Ba6b6ecb2c7404Cf2BA1Ba
ID#52803367…553208
Rarity
X-HI:9%
Artist
Refik Anadol
LO:58%
Series
Unsupervised — Data Universe — MoMA
MID:49%
Artwork of
5000, 1 AP
MID:49%