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