Matrix spillover quantification measures a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging sophisticated algorithms to analyze the extent of spillover effects between separate matrix elements. This process improves our understanding of how information propagates within neural networks, leading to mo