Generative Retail Daymarking System
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Daymarking is a machine learning beat generation engine written in Supercollider and Python. It interpolates a given seed into a universe of nonrepeated rhythmic possibilities, varying the intensity of its output based on ambient activity and time of day. The engine further dynamically spatializes its material through a 34-channel audio system custom-built for this location.