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In PNAS, over 100 research group leaders rated 4,400 AI-generated ideas. Average interest was modest, but a quarter scored 4 or 5 and interest was predictable.
A PNAS study uses drone imagery and machine learning to measure every building stone at Shivta, revealing a hidden earlier boundary and how the town grew.
A Production and Operations Management study builds an LLM conversational recommender that learns from past conversions and checks itself before replying.
A Nature paper on AutoDNA, an AI-native lab that runs 11,000+ experimental steps across 20+ instruments, plus learning with and without AI, scaling ad experiments with machine learning, and the hidden limits of t-SNE.