As artificial-intelligence systems take on more of the scientific workflow, the central goal should not be complete automation, but designing platforms that preserve creativity, responsibility and surprise.
"Our biggest success is keeping on the traditions we have had over the last 75 years, and seeing them passed down from generation to generation. There have been difficult times, but we have kept going," he says.
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