The emerging application of artificial intelligence (AI) to a diverse range of fields has positioned it as a valuable research tool. Stony Brook’s AI Institute contains affiliate faculty from a wide variety of disciplines who are using machine learning to advance their research.
Can artificial intelligence (AI) compose an original music score based on gestures? Can machine learning be used for music generation or digital music instrumentation? Can computers predict and choose appropriate music for a person's mental state? As part of its AI and Music initiative, the Institute for AI-Driven Discovery and Innovation has awarded seed grants to three multidisciplinary research teams to explore these possibilities.
An anonymous $50,000 donation to the AI Institute, to support activities at the convergence of AI and music, has made these seed grants possible. These grants will support projects over the course of the 2020-21 academic year.
I. Memming Park, Stony Brook’s 2019 Discovery Prize winner, built his first artificial neural network when he was in middle school. That long-held interest in how the brain works influenced his award-winning research titled, “Personalized Landscape of Unconsciousness.”
A team of graduate student researchers led by Stony Brook's Andrew Schwartz (Assistant Professor in the College of Engineering and Applied Science’s Institute for AI-Driven Discovery and Innovation and the Department of Computer Science) and Stanford University's Johannes Eichstaedt is using
