A curious and creative character awakens. Developed inside a computer it yearns to learn. You meet it in our performance. It wants to know more about you and starts a conversation. It attempts expression in an intimate play with a musician. And it leaves the space to explore the world on its own. In our open studio we invite you to a playful and interactive session with music, performance and collective discovery. You'll be able to interact with our character Parzival.ai, a Machine Learning model created after Parzival, the medieval adventurer.
"Machine Learning for Musicians and Artists" is a course hosted on Kadenze.com and taught by Dr. Rebecca Fiebrink. It proved to be instructive and inspiring and helped effectively for the communication with specialists from the field. It's a good intro if you’re new to the area and interested to see how simpler ML algorithms can be related to music and performance art.
Already in 1990, musical experiments with analog neural networks have been made. David Tudor, a major figure in the New York experimental music scene, collaborated with Intel to build the very first analog neural synthesizer.
The Free Energy Principle - Neuroscientist Karl Friston on the Markov blanket, Bayesian model evidence, and different global brain theories. How is the brain a statistical model of the world it inhabits?
One of our research approach starts with the notion that language evolved as a subset of music. So first was music, then language. A notion that already Heiner Müller expressed when he said that it's not the singing that starts when words end, but exactly the opposite.
This is the bold idea behind our Machine Learning research: An Artificial Intelligence becomes the protagonist of an interactive music theatre. The piece is based on the European legend of Parzival, a medieval character who grew up alone and conflict-free in the forest, meets three knights and decides to leave the forest to become a knight himself.