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AI Wants Your Fingerprints

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Manage episode 420840109 series 1401630
Content provided by Anthony Carboni/Jeff Cannata and Jeff Cannata/Anthony Carboni. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anthony Carboni/Jeff Cannata and Jeff Cannata/Anthony Carboni or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

764 episodes

Artwork

AI Wants Your Fingerprints

We Have Concerns

1,729 subscribers

published

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Manage episode 420840109 series 1401630
Content provided by Anthony Carboni/Jeff Cannata and Jeff Cannata/Anthony Carboni. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anthony Carboni/Jeff Cannata and Jeff Cannata/Anthony Carboni or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

764 episodes

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