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