"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.
How can we make notation relevant to today’s music practice? Some composers are using technology to enable new notation methods.
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.
What would the music sound like if its creator wouldn't know anything about our venerable higher concepts of music?