{"id":183962,"date":"2024-04-23T10:05:24","date_gmt":"2024-04-23T09:05:24","guid":{"rendered":"https:\/\/liora.io\/en\/?p=183962"},"modified":"2026-02-06T08:06:29","modified_gmt":"2026-02-06T07:06:29","slug":"ai-fingerprints-are-fingerprints-still-unique","status":"publish","type":"post","link":"https:\/\/liora.io\/en\/ai-fingerprints-are-fingerprints-still-unique","title":{"rendered":"AI fingerprints: Are fingerprints still unique?"},"content":{"rendered":"<style>\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><p><strong>Traditionally considered unique to each individual, fingerprints are a pillar of personal identification. However, a team from Columbia University IA has managed to challenge this age-old belief.<\/strong><\/p>\t\t\n\t\t\t<h3>What does Columbia University&#8217;s AI reveal?\n<\/h3>\t\t\n\t\t<p>The <strong>study conducted by Columbia University<\/strong> marks a turning point in fingerprint identification.<\/p><p>By using<a href=\"https:\/\/liora.io\/en\/artificial-intelligence-deepfake-detectors-have-become-indispensable\"> artificial intelligence<\/a> to analyse vast datasets, the researchers discovered unexpected patterns and disturbing similarities between the fingerprints of different people, <strong>calling into question the long-accepted uniqueness of fingerprints.<\/strong><\/p><p><strong>Thanks to sophisticated algorithms,<\/strong> AI is capable of analysing fingerprints with unrivalled accuracy and speed. This technology opens the door to revolutionary applications in forensics, transforming the way criminal investigations are conducted.<\/p>\t\t\n\t\t\t<style>\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure>\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/liora.io\/app\/uploads\/2024\/01\/DALL\u00b7E-2024-01-29-17.15.00-Create-a-graphic-illustration-of-an-algorithm-on-a-computer-screen-analyzing-a-fingerprint.-The-image-should-show-a-close-up-of-the-computer-monitor-w.png\" title=\"\" alt=\"Illustration d'un algorithme sur un \u00e9cran d'ordinateur analysant une empreinte digitale, montrant un \u00e9cran avec des lignes de code, des graphiques d'analyse de donn\u00e9es et une am\u00e9lioration num\u00e9rique de l'empreinte.\" loading=\"lazy\">\t\t\t\t\t\t\t\t\t\t\t<figcaption><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t<h3>What does Columbia University&#8217;s AI reveal?\n<\/h3>\t\t\n\t\t<p>The<strong> study conducted by Columbia University<\/strong> marks a turning point in fingerprint identification. By using <a href=\"https:\/\/liora.io\/en\/xai-or-explainable-artificial-intelligence-what-is-it-about\">artificial intelligence<\/a> to analyse vast datasets, the researchers discovered unexpected patterns and disturbing similarities between the fingerprints of different people, calling into question the long-accepted uniqueness of fingerprints.<\/p><p>Thanks to sophisticated algorithms, AI is capable of analysing fingerprints with unrivalled accuracy and speed. This technology opens the door to revolutionary applications in forensics, transforming the way criminal investigations are conducted.<\/p>\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t<figure>\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/liora.io\/app\/uploads\/2024\/01\/DALL\u00b7E-2024-01-29-17.15.00-Create-a-graphic-illustration-of-an-algorithm-on-a-computer-screen-analyzing-a-fingerprint.-The-image-should-show-a-close-up-of-the-computer-monitor-w.png\" title=\"\" alt=\"Illustration d'un algorithme sur un \u00e9cran d'ordinateur analysant une empreinte digitale, montrant un \u00e9cran avec des lignes de code, des graphiques d'analyse de donn\u00e9es et une am\u00e9lioration num\u00e9rique de l'empreinte.\" loading=\"lazy\">\t\t\t\t\t\t\t\t\t\t\t<figcaption><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t<h3>What are the future prospects for AI technology in biometric identification?<\/h3>\t\t\n\t\t<p>Artificial intelligence technology for biometric identification is constantly evolving, promising spectacular advances in the years to come. Researchers are exploring new applications, including advanced security and faster, more accurate identification. Emphasis is also being placed on developing more ethical and less biased algorithms, with the aim of ensuring that AI is used responsibly. These advances could radically transform our security and personal identification systems.<\/p><p>If you have enjoyed this article, and are considering a career in Data Science or simply looking to improve your skills in your field, don&#8217;t hesitate to discover our training offers or our blog articles on Liora.<\/p><p>Source: <a href=\"\/\">cordis.europa.eu<\/a><\/p>\t\t\n\t\t\t\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex is-content-justification-center\"><div class=\"wp-block-button \"><a class=\"wp-block-button__link wp-element-button \" href=\"\/en\/courses\/data-ai\/\">Starting a Big Data training course<\/a><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Traditionally considered unique to each individual, fingerprints are a pillar of personal identification. However, a team from Columbia University IA has managed to challenge this age-old belief. What does Columbia University&#8217;s AI reveal? The study conducted by Columbia University marks a turning point in fingerprint identification. By using artificial intelligence to analyse vast datasets, the [&hellip;]<\/p>\n","protected":false},"author":76,"featured_media":183964,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"_acf_changed":false,"editor_notices":[],"footnotes":""},"categories":[2433],"class_list":["post-183962","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/183962","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/users\/76"}],"replies":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/comments?post=183962"}],"version-history":[{"count":1,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/183962\/revisions"}],"predecessor-version":[{"id":205789,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/183962\/revisions\/205789"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media\/183964"}],"wp:attachment":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media?parent=183962"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/categories?post=183962"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}