For centuries, the method of discovery—the fundamental practice of science that scientists use to explain the natural world systematically and logically—has remained largely the same. Artificial intelligence (AI) and machine learning (ML) hold tremendous promise in having an impact on the way scientific discovery is performed today at the fundamental level. However, to realize this promise, we need to identify priorities and outstanding open questions for the cutting edge of AI going forward. AI is already changing the way scientists discover and design drugs. It is predicting how molecules interact and proteins fold with never-before-seen speed and accuracy. One day, AI may even be used routinely to safeguard the function of nuclear reactors.Using AI to tackle major scientific challenges not only has the potential to advance science, but also to trickle down to solving problems in everyday life.
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