Grassmann Flows

Grassmann flows refer to a mathematical framework used to model and analyze complex systems, particularly those involving high-dimensional data and geometric structures. As a research area, Grassmann flows have garnered significant attention in the tech community due to their potential applications in machine learning, signal processing, and data analysis, enabling researchers to develop more efficient algorithms and models for handling intricate data patterns.