In the 20th century technical media radically transformed the image. Beginning with the photography, in which images seemingly generated themselves, media “transformed the entire nature of art”. Photography, film, phonography, radio, television, video, computers, the Internet and nowadays artificial intelligence and machine learning have redefined the relationship between artist, work, and viewer as well as our notion of the creative act.
Future technologies can offer entirely new experiences for approaching museums, the experience that draw inspiration from their collections and accumulated creative histories.
Museums today are data centers, living archives for exploring art and creative expressions and relations from other times and locations. They are a space for knowledge, information, basis for creating and for thinking about our past and present, translating those moments into the future through innovative new language and perspective.
While using it with respect, the collection should offer transparency, access and democracy; it can be space for research, creation, communication, education, and discussion; engaging and connecting more people in collaboration with the institutions.
Using the GAN (generative adversarial network) models and digitalized part of the MMSU collection (around 1113 works as base and material) the new images were created, treating each artwork from the collection as an equally worth input.
images generated from the MMSU collection database and with the machine learning