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