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AI for Science — Roadmap
1. AI for Science Fundamentals
- Drug discovery and molecular ML
- Protein structure prediction
- Genomics
- Materials science
- Physics-informed neural networks (PINNs) and neural operators
- Simulation
- Molecular generation and docking
- Scientific foundation models
Next: Domain AI Applications — where AI for Science's biology/chemistry focus sits alongside healthcare, finance, and other applied-AI domain tracks.