AI Study Challenges Uniqueness of Fingerprints

A study led by an undergraduate senior at Columbia University challenges the long-held belief that fingerprints are all unique, using an AI-based system to find similarities between fingerprints from different fingers of the same person. The study, published in Science Advances, suggests that traditional markers for fingerprint identification may not be as reliable as previously thought. While some experts believe the findings are not entirely new, the team behind the study is confident in the results and has open-sourced the AI code for others to check, emphasizing the potential impact of AI in discovering hidden features.