Matrix spillover quantification evaluates a crucial challenge in complex learning. AI-driven approaches offer a novel solution by leveraging cutting-edge algorithms to assess the extent of spillover effects between distinct matrix elements. This process enhances our knowledge of how information propagates within neural networks, leading to improved