Blackberry Winter (2019) We investigate the possibilities to identify motion as a continuous walk in a latent space of situations. Blackberry Winter is a triptych of artificial human motion in asymmetry. We developed three different choreographies of human bodies and their ongoing neural relationship in reference to each other, using our custom machine learning solution to weave spatial information into contemporary GAN technology.We developed a custom Generative Adversarial Network pipeline called RayGan to teach our network a possibility space of human poses. The ongoing journey through this synthetic space of physical human nature, is then perceived as dance. The training data is generated by 120.000 postures of human bodies, yet it was never introduced to a sequence of movements or velocity. All textures, colors and gradients are furthermore generated through our own designer GAN. A network trained with a curated dataset of visual artists.
