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An explainable AI framework for scientific discovery and high-stakes applications

Artificial intelligence (AI) may have more to offer science than accurate predictions. The patterns it learns could point researchers towards new, testable explanations of how complex systems function. A new Perspective co-authored by Assistant Professor Gianmarco Mengaldo from the Department of Mechanical Engineering under the College of Design and Engineering at the National University of Singap