Advanced Multi-Modal Data Fusion Architecture

Develop a sophisticated multi-modal data fusion framework capable of integrating and analyzing heterogeneous data sources with varying structures and semantics. Implement advanced techniques including deep learning fusion models, probabilistic graphical approaches, and semantic alignment methods. Create a flexible architecture that can dynamically handle different data modalities while maintaining interpretability.