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Predicting targeted protein degradation on underexplored E3 ligases no longer requires dense labeled datasets: support-conditioned prototype estimation enables zero-fine-tuning transfer across ligases with as few as two samples per class.
Experimental records in autonomous driving can now be seamlessly integrated with real-time operational conditions, enhancing interpretability and reuse across teams.
LLMs get *more* creative at generating molecules when you add *more* constraints, defying the intuition that creativity thrives on freedom.