An experimental creative AI project exploring the intersection of hip-hop dance, mycelium network datasets, and machine learning to generate emergent movement vocabularies. GOLM investigates whether biological network topologies—particularly fungal mycelium growth patterns—can be used to train generative models that produce novel choreographic sequences and spatial interaction grammars.
Semantic Classification
Content
- vicki clarke audio (beyond)
- hip hop dance > mycelium network overtrain via the clown code
- gino spilgarino
- mycelium datasets