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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
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BEGIN:STANDARD
DTSTART:20261101T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
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BEGIN:VEVENT
DTSTAMP:20260528T170619Z
UID:F13C78F3-4634-4C35-AB9F-083895AA03FA
DTSTART;TZID=America/Chicago:20260528T183000
DTEND;TZID=America/Chicago:20260528T200000
DESCRIPTION:In this talk\, we will discuss a panoramic view of biometrics a
 nd digital forensics in the last 10 years and how it needed to evolve from
  basic computer vision and simple natural language processing techniques t
 o powerful AI-driven methods to deal with the signs of the new age. We wil
 l discuss tampering detection and its evolution\, fact-checking\, authorsh
 ip analysis\, and attacks on biometrics systems to deal with large-scale s
 cenarios.\n\nSpeaker(s): Dr. Anderson Rocha\n\nRoom: Mann Hall\, Bldg: May
 o Medical Sciences Building\, 321 3rd Ave SW\, Rochester\, Minnesota\, Uni
 ted States\, 55902\, Virtual: https://events.vtools.ieee.org/m/560503
LOCATION:Room: Mann Hall\, Bldg: Mayo Medical Sciences Building\, 321 3rd A
 ve SW\, Rochester\, Minnesota\, United States\, 55902\, Virtual: https://e
 vents.vtools.ieee.org/m/560503
ORGANIZER:ckwhite@ieee.org
SEQUENCE:20
SUMMARY:Artificial Intelligence\, Digital Forensics\, and Biometrics: a muc
 h-needed alliance
URL;VALUE=URI:https://events.vtools.ieee.org/m/560503
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;In this talk\, we will discuss a panoramic
  view of biometrics and digital forensics in the last 10 years and how it 
 needed to evolve from basic computer vision and simple natural language pr
 ocessing techniques to powerful AI-driven methods to deal with the signs o
 f the new age. We will discuss tampering detection and its evolution\, fac
 t-checking\, authorship analysis\, and attacks on biometrics systems to de
 al with large-scale scenarios.&lt;/p&gt;
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