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 magnitude of spillover effects between distinct matrix elements. This process boosts our understanding of how information propagates within computational networks, leading to