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