Modularity Function

Modularity, the decomposition of complex systems into simpler, interacting units, is a central theme in current research across diverse fields, from neuroscience and autonomous driving to natural language processing and robotics. Researchers are exploring how modularity improves model efficiency, generalization, and interpretability, focusing on architectures like Mixture-of-Experts and methods that leverage modularity for efficient training and transfer learning. This work has significant implications for developing more efficient, robust, and understandable AI systems, as well as for gaining insights into the organization and function of complex biological systems.