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AI Wants Your Fingerprints

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Manage episode 420840109 series 1401630
Contenuto fornito da Anthony Carboni/Jeff Cannata and Jeff Cannata/Anthony Carboni. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Anthony Carboni/Jeff Cannata and Jeff Cannata/Anthony Carboni o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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

771 episodi

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AI Wants Your Fingerprints

We Have Concerns

1,728 subscribers

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Manage episode 420840109 series 1401630
Contenuto fornito da Anthony Carboni/Jeff Cannata and Jeff Cannata/Anthony Carboni. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Anthony Carboni/Jeff Cannata and Jeff Cannata/Anthony Carboni o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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

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