AI is moving deeper into the scientific research cycle
AI systems are beginning to connect stages of scientific work that were previously automated separately: literature search, hypothesis generation, experimental planning, data analysis and revision of hypotheses. The strongest demonstrations still keep humans inside the loop, particularly where physical experiments are involved.
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