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