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

National University of Singapore College of Design and Engineering

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

Caption

Associate Professor Ricardo Vinuesa (Univeristy of Michigan), Assistant Professor Gianmarco Mengaldo (National University of Singapore), and Professor Steve Brunton (University of Washington), propose a step-by-step approach for turning patterns found by AI into hypotheses that scientists can test and, if validated, apply in research and engineering.

Credit

College of Design and Engineering, NUS

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