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