No two human fingerprints are alike. Even different fingers from the same person are unique. But new research from Columbia University using an applied neural network suggests there may be a new way to link intra-person fingerprints with a high degree of accuracy. Jeff and Anthony take a look at fingerprinting analysis and discuss the use of machine learning to innovate in ways humans cannot.

For bonus content, check out our Patreon! patreon.com/wehaveconcerns

Hey! If you’re enjoying the show, please take a moment to rate/review it on whatever service you use to listen.

Link to this week's story:  https://www.sciencealert.com/groundbreaking-study-reveals-your-fingerprints-arent-as-unique-as-we-thought

Here’s the iTunes link: http://bit.ly/wehaveconcerns And here’s the Stitcher link: http://bit.ly/stitcherwhconcerns

Jeff on Twitter: http://twitter.com/jeffcannata
Anthony on Twitter: http://twitter.com/acarboni

If you've seen a story you think belongs on the show, send it to wehaveconcernsshow@gmail.com or leave it on the subreddit: http://reddit.com/r/wehaveconcerns