Matrix spillover quantification evaluates a crucial challenge in complex learning. AI-driven approaches offer a promising solution by leveraging sophisticated algorithms to assess the magnitude of spillover effects between separate matrix elements. This process enhances our insights of how information flows within computational networks, leading to