Matrix spillover quantification evaluates a crucial challenge in deep learning. AI-driven approaches offer a novel solution by leveraging cutting-edge algorithms to assess the extent of spillover effects between different matrix elements. This process improves our insights of how information propagates within mathematical networks, leading to impro