Matrix spillover quantification represents a crucial challenge in complex learning. AI-driven approaches offer a novel solution by leveraging cutting-edge algorithms to analyze the level of spillover effects between distinct matrix elements. This process improves our understanding of how information propagates within computational networks, leading