Matrix spillover quantification represents a crucial challenge in complex learning. AI-driven approaches offer a novel solution by leveraging sophisticated algorithms to assess the level of spillover effects between distinct matrix elements. This process enhances our knowledge of how information flows within mathematical networks, leading to improv