Interdisciplinary Insights: Topology, Geometry, and Machine Learning

This chapter explores the synergy between topology, geometry, and computational complexity, particularly in addressing the P vs NP problem. The discussion includes a project on manifold triangulations aimed at improving machine learning, along with insights into ongoing research and innovation in the field.