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