Matrix spillover quantification measures a crucial challenge in deep learning. AI-driven approaches offer a innovative solution by leveraging cutting-edge algorithms to analyze the magnitude of spillover effects between separate matrix elements. This process boosts our insights of how information propagates within mathematical networks, leading to