Geometric Learning

Geometric learning refers to the application of geometric principles and methods to machine learning, enabling the analysis and modeling of complex data with inherent geometric structures. As a rapidly evolving research area, geometric learning is gaining significance in the tech community, particularly in fields like computer vision, robotics, and natural language processing, where it helps improve the accuracy and efficiency of AI models by leveraging the underlying geometry of the data.