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DTSTART:20260206T200000Z
DTEND:20260206T213000Z
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SUMMARY:Accelerating History: AI and Optical Character Recognition
DESCRIPTION:From the 1990s to the 2010s\, the pace of development in text 
 and handwritten tech was steady\, but over the last 2-3 years\, 
 advancements have accelerated dramatically. Now\, new tools are being 
 released nearly every week with non-trivial improvements. Tools such as 
 olmOCR\, Chandra and Hunyan have revolutionized the field and provided 
 scholars with expanded capabilities to extract text and structured data 
 from images of text.\n\nIn this seminar\, we will journey through the eras 
 of Optical Character Recognition (OCR) technology\, early rule-based tools 
 to cutting-edge advancements that integrate Large Language and Vision 
 models\, demonstrating the current capabilities and outstanding potential. 
 Methodology\, best practices\, and pitfalls will be presented. \n\nWe will 
 offer brief demonstrations of a couple of scenarios\, using Python scripts 
 (which will be available on GitHub). These scripts are part of an effort to 
 develop a flexible and up-to-date application for running these processes 
 on a variety of platforms.\n\nCompletion of this workshop can contribute to 
 a partial requirement of the University of Alberta Professional Development 
 program by the Faculty of Graduate   Postdoctoral Studies (GPS). 
 Information on how attendance will be recorded will be discussed in the 
 workshop.\n\n\nThe Instructors: Chloë Farr (University of Victoria 
 Computer Science\, graduate student)\, Corey Davis (University of 
 Victoria\, Digital Preservation Librarian)\, and Peter Binkley (University 
 of Alberta\, Digital Scholarship Technologies Librarian)
LOCATION:2-20A\, Digital Scholarship Centre 
ORGANIZER;CN="Junelle Mah":MAILTO:junelle@ualberta.ca
CATEGORIES:Digital Ecosystems
CONTACT;CN="Junelle Mah":MAILTO:junelle@ualberta.ca
STATUS:CONFIRMED
UID:LibCal-3994714
URL:https://ualberta.libcal.com/event/3994714
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