This invention describes a system that helps study molecules by predicting their properties using artificial intelligence. When someone asks for a molecule's property, the system first tries to guess the answer with an AI model. If the AI's guess isn't reliable enough, the system performs the actual experiment or calculation to get the correct answer, which is then used to teach and improve the AI model for future predictions.
Why it matters: Rapid advancements in molecular machine learning and active learning techniques since 2024 could make the continuous model improvement loop significantly more effective.
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