Welcome to Crimetown, a series produced by Marc Smerling and Zac Stuart-Pontier in partnership with Gimlet Media. Each season, we investigate the culture of crime in a different city. In Season 2, Crimetown heads to the heart of the Rust Belt: Detroit, Michigan. From its heyday as Motor City to its rebirth as the Brooklyn of the Midwest, Detroit’s history reflects a series of issues that strike at the heart of American identity: race, poverty, policing, loss of industry, the war on drugs, an ...
…
continue reading
Sisällön tarjoaa Glenn Langenburg and Eric Ray, Glenn Langenburg, and Eric Ray. Glenn Langenburg and Eric Ray, Glenn Langenburg, and Eric Ray tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
Player FM - Podcast-sovellus
Siirry offline-tilaan Player FM avulla!
Siirry offline-tilaan Player FM avulla!
Episode 264 - Fingerprints Proven by AI to Not Be Unique!
MP3•Jakson koti
Manage episode 396772386 series 111995
Sisällön tarjoaa Glenn Langenburg and Eric Ray, Glenn Langenburg, and Eric Ray. Glenn Langenburg and Eric Ray, Glenn Langenburg, and Eric Ray tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
Eric and Glenn respond to the recent allegations that a computer science undergraduate at Columbia University, using Artificial Intelligence, has “proven that fingerprints aren’t unique” or at least…that’s how the media is mischaracterizing a new published paper by Guo, et al. The guys dissect the actual publication (“Unveiling intra-person fingerprint similarity via deep contrastive learning” in Science Advances, 2024 by Gabe Guo, et al.). They state very clearly what the paper actually does show, which is a far cry from the headlines and even public dissemination originating from Columbia University and the author. The guys talk about some of the important limitations of the study and how limited the application is to real forensic investigations. They then explore some of the media and social media outlets that have clearly misunderstood this paper and seem to have little understanding of forensic science. Finally, Eric and Glenn look at some quotes and comments from knowledgeable sources who also have recognized the flaws in the paper, the authors’ exaggerations, and lack of understanding of the value of their findings. Gabe Guo et al. ,Unveiling intra-person fingerprint similarity via deep contrastive learning.Sci. Adv.10, eadi0329(2024). DOI:10.1126/sciadv.adi0329 https://www.science.org/doi/10.1126/sciadv.adi0329 https://www.engineering.columbia.edu/news/ai-discovers-not-every-fingerprint-unique https://for-sci-law.blogspot.com/ https://www.cnn.com/2024/01/12/world/fingerprints-ai-based-study-scn/index.html
…
continue reading
142 jaksoa
MP3•Jakson koti
Manage episode 396772386 series 111995
Sisällön tarjoaa Glenn Langenburg and Eric Ray, Glenn Langenburg, and Eric Ray. Glenn Langenburg and Eric Ray, Glenn Langenburg, and Eric Ray tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
Eric and Glenn respond to the recent allegations that a computer science undergraduate at Columbia University, using Artificial Intelligence, has “proven that fingerprints aren’t unique” or at least…that’s how the media is mischaracterizing a new published paper by Guo, et al. The guys dissect the actual publication (“Unveiling intra-person fingerprint similarity via deep contrastive learning” in Science Advances, 2024 by Gabe Guo, et al.). They state very clearly what the paper actually does show, which is a far cry from the headlines and even public dissemination originating from Columbia University and the author. The guys talk about some of the important limitations of the study and how limited the application is to real forensic investigations. They then explore some of the media and social media outlets that have clearly misunderstood this paper and seem to have little understanding of forensic science. Finally, Eric and Glenn look at some quotes and comments from knowledgeable sources who also have recognized the flaws in the paper, the authors’ exaggerations, and lack of understanding of the value of their findings. Gabe Guo et al. ,Unveiling intra-person fingerprint similarity via deep contrastive learning.Sci. Adv.10, eadi0329(2024). DOI:10.1126/sciadv.adi0329 https://www.science.org/doi/10.1126/sciadv.adi0329 https://www.engineering.columbia.edu/news/ai-discovers-not-every-fingerprint-unique https://for-sci-law.blogspot.com/ https://www.cnn.com/2024/01/12/world/fingerprints-ai-based-study-scn/index.html
…
continue reading
142 jaksoa
Semua episode
×Tervetuloa Player FM:n!
Player FM skannaa verkkoa löytääkseen korkealaatuisia podcasteja, joista voit nauttia juuri nyt. Se on paras podcast-sovellus ja toimii Androidilla, iPhonela, ja verkossa. Rekisteröidy sykronoidaksesi tilaukset laitteiden välillä.