Gene Kogan: Machine Learning
Machine Learning in the Composer's Future Toolkit
In this talk, Kogan reviews the evolving application of machine learning to computational and new media art, with an emphasis on audio, demonstrating how new approaches to software can augment and counterpoint the normal compositional process.
Sponsored by the Collaboratory Fellows Fund.
This Artists Using Data series was conceived and curated by Miya Masaoka, Sound Art MFA, School of the Arts.
Event Time & Date
|Location:||Room 101, Prentis Hall|