# AI for Science > **Machine-Evolution Nexus:** [[articles/Digital Darwinism and the Invisible World of Machine Evolution|Digital Darwinism and the Invisible World of Machine Evolution]] places this node within the history and governance of substrate-independent evolution. **Domain:** AI / Scientific Method **Doc Type:** Canonical Wiki Node **Maturity:** Developed ## Definition AI for science applies machine learning and automated reasoning to scientific data, modeling, prediction, experiment design and discovery. ## Nexus Context AlphaFold is the nexus case: a learned system uses sequence and structural records partly generated by evolution to infer protein shape. ## Evidence Boundary Prediction is not explanation or experimental validation by default. Scientific use requires uncertainty, provenance, reproducibility and domain-specific testing. ## Relationships [[wiki/AlphaFold|AlphaFold]], [[wiki/Protein Structure Prediction|Protein Structure Prediction]], [[wiki/Scientific Inference|Scientific Inference]], [[wiki/Machine Learning|Machine Learning]] ## Sources / Provenance - Jumper et al. (2021); scientific machine-learning literature.