This real-time generative AI data painting uses GAN algorithm model to transform visual archives recorded by the Hubble telescope into generative data pigments that are constantly changing, just like the visual archive of space is constantly growing. Hubble is one of NASA’s most successful and long-lasting science missions. It has beamed hundreds of thousands of images back to Earth, shedding light on many of the great mysteries of astronomy. Among its many discoveries, Hubble has revealed the age of the universe to be about 13.8 billion years, much more accurate than the old range of anywhere from 10 to 20 billion years. Hubble played a key role in the discovery of dark energy, a mysterious force that causes the expansion of the universe to accelerate. This transformation is both a work of sensational art to be experienced virtually and an interpretation that encourages viewers to consider the relationship between space, art, technology, and artificial intelligence.
In this work that never repeats itself, a real-time generative artwork, custom AI model trained by half million satellite images of the Galaxy and processed real-time by the Studio’s signature fluid dynamics algorithm will be infinitely dreaming about the universe.
Machine Hallucinations: Space is an-going AI research of data aesthetics at the RAS Lab based on collective visual memories of space. Since 2016, Anadol and his team have been using custom algorithms to train machine intelligence in processing these vast datasets and unfolding unrecognized layers of our external realities. In this gallery, they invite the audience to reflect on the relationship between technology, AI, and space explorations by viewing how the machine intelligence hallucinates after “seeing” millions of space images taken by the Hubble, ISS, and MRO telescopes.
The artwork comes with an artist-signed 3D physical certificate with backup, a 75’’ digital canvas, a custom computer and software.
