The study relied on AI's discovery of similarities between different fingers belonging to the same person to argue that each fingerprint is, in fact, not totally unique. Some of the pairs came from two different fingers belonging to the same person, while other pairs were two different people's fingers. The AI system discovered that fingerprints from different fingers belonging to the same person were incredibly similar. Researchers honed in on the angles and curvatures at the center of the fingerprint to find these similarities, Guo told CNN. "I think this study is just the first domino in a huge sequence of these things," Guo told CNN.

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Persons: —, Gabe Guo, Hod Lipson, Xu, Guo, Christophe Champod, Sarah Fieldhouse Organizations: Service, Columbia University, CNN, Columbia Engineering, University of Buffalo SUNY, Forensics, School of Criminal, University of Lausanne, Staffordshire University, BBC Locations: Switzerland