Self-improving AI models

Models that incorporate iterative learning and model update processes informed by new data and scientific feedback, enabling continual refinement of performance or capabilities over time. In the RFI context, these include lifecycle processes for retraining, validation, and integration of scientific updates while managing governance, security, and reproducibility constraints.