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He has had many solo exhibitions [4] [5] and is one of five artists that art historian Patrick Frank examines in his 2024 book Art of the 1980s: As If the Digital Mattered. [ 6 ] His work in the late 1970s and early 1980s chiefly consisted of postminimal gray palimpsest -like drawings that were often photo-mechanically enlarged. [ 7 ]
An image of the Melissa computer virus created by Ukrainian artist Stepan Ryabchenko in 2011. Irrational Geometrics' digital art installation, 2008 by Pascal Dombis Digital art refers to any artistic work or practice that uses digital technology as part of the creative or presentation process.
Miguel Chevalier also works to promote the recognition of the field of digital art in the world by closely participating in large-scale exhibitions such as Artistes & Robots at the Grand Palais in 2018 (curators : Laurence Bertrand Dorléac et Jérôme Neutres) or Immaterial / Re-material: A Brief History of Computing Art at the UCCA in Beijing ...
Manfred Mohr posing in front of his work (2019) Piece "P-777_D" (2002/04). LCD Screen and PC. Manfred Mohr (born June 8, 1938 in Pforzheim/Germany) is a German artist considered to be a pioneer in the field of digital art. [1]
There was a 2014 exhibition called Art Post-Internet at Beijing's Ullens Center for Contemporary Art, which ARTnews named one of the "most art exhibitions of the 2010s" [14] which "set out to encapsulate the budding movement." [2] MoMA curated Ocean of Images in 2015, a show "probing the effects of an image-based post-Internet reality."
Fractal art is a form of algorithmic art created by calculating fractal objects and representing the calculation results as still digital images, animations, and media. Fractal art developed from the mid-1980s onwards. [2] It is a genre of computer art and digital art which are part of new media art. The mathematical beauty of fractals lies at ...
The Google Art Project was a development of the virtual museum projects of the 1990s and 2000s, following the first appearance of online exhibitions with high-resolution images of artworks in 1995. In the late 1980s, art museum personnel began to consider how they could exploit the internet to achieve their institutions' missions through online ...
Unlike previous algorithmic art that followed hand-coded rules, generative adversarial networks could learn a specific aesthetic by analyzing a dataset of example images. [12] In 2015, a team at Google released DeepDream, a program that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia.