Building Smarter AI Systems with Modular Neural Networks: Theory, Architecture, and Practice

This blog post discusses Modular Neural Networks (MNNs), a framework that decomposes complex AI tasks into smaller, specialized modules. It covers the core architecture patterns, training strategies, advantages, challenges, and real-world applications of MNNs, aiming to help developers understand and implement these architectures for better scalability, interpretability, and efficiency in AI systems.