Matrix spillover quantification evaluates a crucial challenge in complex learning. AI-driven approaches offer a promising solution by leveraging sophisticated algorithms to analyze the magnitude of spillover effects between distinct matrix elements. This process improves our insights of how information transmits within neural networks, leading to i