Multi-Modal Scientific Data Fusion Platform

Develop an advanced data fusion framework for integrating heterogeneous scientific datasets. Create sophisticated alignment techniques, support for handling multi-modal data sources, and provide comprehensive uncertainty propagation mechanisms. Implement machine learning models for cross-modal feature extraction, support for complex scientific domains, and interactive exploration interfaces. Design the system to handle challenges of integrating diverse scientific data types.