summaery2020: Projects

Project information

submitted by
Christina Schinzel

Co-Authors
Dr. Alexander König, Sandra Anhalt, Funda Zeynep Aygueler, Pedro Rodolpho Ramos Camargo, Tian Feng, Yijia Fu, Won Chul Ji, Leon-Etienne Kühr, Lennart Oberlies, Christina Schinzel, Wei-Ru Tai

Mentors
Dr. Alexander König

Faculty:
Art and Design

Degree programme:
Media Art and Design (Bachelor of Fine Arts (B.F.A.)),
Media Art and Design -Study programme Media Art und Design (MAD) (english) (Master of Fine Arts (M.F.A.))

Type of project presentation
Performance

Semester
Summer semester 2020

Participation in the Bauhaus.Modules

Links
http://dvm.mat.education

Project description

Using a specially designed online learning environment, we first explore the worlds of the cloud in which machine learning (AI) is at home and try to understand its pictorial understanding. This technical excursion is followed by a critical analysis of the topic using selected theoretical writings. At the same time, we will use the process known as Pix2Pix to train neural networks with our own visual condensates, which then crystallize into their structures in the form of learning processes. The resulting condensed crystal can then be used to transfer any visual content into its internal monadic structure.
Together we will develop a project in which we train an AI system, a so-called GAN, with visual material. This system is then able to transfer a visual (procedurally created and music responsive) input into the stylistics of the trained material. The end result will be a performable, interactive live visual system that combines creative expression with the modern possibilities of AI. It will become clear that such a technology can never replace artists, but like any other tool, it opens up new possibilities for creative processes. In addition, the inner workings of the systems will be revealed and exemplified.
The module consists of three layers: Firstly, it is an introduction to machine learning using GANs and the development of an interactive frontend in Touchdesigner that reacts to music.