Colors from space breaths

Experimental project 'Machine learning Art'. Creative freedom on obsessive colors of the universe. Addition to my 'data+art' collective. Inspecting beauty in data and depicting the complexity of computational thinking. Method of amalgamation of Nebula image library from NASA's Hubble Space Telescope trained on StyleGAN model and experimenting 3d heightmaps on the same.

The project also aim to evoke a sense of other-worldliness with its generative particles with added turbulence. This is a road to depict alien graphics apart from the usual 'cyberpunk' with the help of unusual physics simulation and higher dimensional geometries.

​The idea of ‘storytelling’ in projections is one way forward in terms of content beyond the simple projection of images and shapes. There is the opportunity to engage people in stories beyond looking at a building and delve into history and stories and use the format with a little more narrative around histories. With this, it’s possible to take data from almost anything and use that to create an animation which is live. ​ Data, artificial intelligence, machine learning (ML), and deep learning (DL): These make up the zeitgeist of our current times. StyleGAN is a novel generative adversarial network introduced by Nvidia researchers in December 2018, and open sourced in February 2019. StyleGAN depends on Nvidia's CUDA software, GPUs and on TensorFlow.