“Style is more than a simple matter of aesthetics because it unfolds a way of making sense sensible.” —Roy Ascott “Neurodynamics” is a generative projection triptych that is the result of an augmented algorithmic system. By experimenting with machine learning algorithms such as style transfer (machine learning technique, which allows to computationally extract style of one image and inject it to another) the abstract trajectories of recorded everyday movements of artist’s computer mouse and the fluid gradients and colors of photographic elements, derived of his personal photos, were recycled into new purely aesthetic animations. This is an attempt of the artist to collaborate with him, being mediated by computer. Thus, the movements, which he did everyday with his computer mouse, can be seen as a recorded creative essence, recycled in a later step. Moreover, the artist had limited control over the outcome of the machine because the process is very time consuming, as it takes several hours to compute these images even on a very powerful computer. As it was mentioned, to make the animations colorful, he used some of his personal photos, originals of which did not look very inspiring in an artistic sense. However, what machine extracted out of them, is something special and unique. The spatial color and frequencies of intensities are changing on very detailed levels. Therefore, the usage of machine learning algorithms for production of the piece was also dictated by artist’s desire to change the whole process of creating the art piece by not only making it more generative but a playful exploration.
Venue: Darbast platform