A recent study by Google, DeepMind, and MIT reveals that while AI is effectively accelerating theoretical research, it is creating a backlog of untested hypotheses because laboratory experimentation cannot keep up. Consequently, many researchers report that their primary bottleneck has shifted from data analysis to physical testing and data collection.
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