recommended but not necessary: basics of coding or visual programming
Google, Colaboratory, Adobe package
computer with good specifications, good internet connection
Maximum number of participating students:
“Synthetic intelligence” workshop questions the role of synthetic forms of cognition within the design process in order to shape a new aesthetic value system. From the numerical perspective of machine learning, notions such as style, form, flow and movement can be all described as distributions of a pattern. Thus to study a new form of design intelligence would mean to study the manner by which information flows and patterns are absorbed and treated by AI. A machine learning system can be compared to a device that maps and perceives complex patterns through vast spaces of data. Instead of treating AI as a machine hallucination or alien cognition, we will consider machine learning as an instrument of knowledge magnification - a technique to see and navigate the space of knowledge. Aesthetic here becomes a meta-language. It is a meta-pattern that creates a framework of conversation and communication with the non-human. We will use computational methods to analyse patterns in historical culture in the available digitized archives in order to form a new aesthetic value system through coding and drawing. Final outcome of the seminar will consist of a catalogue of GAN generated drawings and videos, which will aim to open up new techniques within the design process.