Geoffrey Taghon
gtaghon
AI & ML interests
-Increasing interpretability through novel use of hardware and data structures
-High dimensional embedding and subsequent dimensional reduction with exotic math (quaternions, octonions, fibrations, Hilbert space)
-Representation of learned semantic knowledge as hierarchical graphs/trees