Matrix spillover quantification evaluates a crucial challenge in complex learning. AI-driven approaches offer a innovative solution by leveraging powerful algorithms to assess the level of spillover effects between distinct matrix elements. This process boosts our knowledge of how information flows within computational networks, leading to more mod