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DTSTART;TZID=America/Halifax:20251202T183000
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DESCRIPTION:This talk will present emerging applications of Artificial Inte
 lligence (AI) in the nuclear energy sector\, focusing on how Large Languag
 e Models (LLMs) and vision systems can enhance nuclear safety\, data inter
 pretation\, and operational efficiency. Grounded in recent work involving 
 CANDU systems and Canadian CSA standards\, the presentation will explore h
 ow AI can be responsibly applied in highly regulated environments.\n\nIn a
 ddition to technical advances\, the talk will discuss how AI systems can b
 e effectively regulated within the nuclear context\, examining current gov
 erning standards and their applicability to intelligent technologies. It w
 ill also highlight ongoing developments in AI regulation\, emphasizing how
  evolving frameworks can support innovation while maintaining the industry
 ’s core commitment to nuclear safety.\n\nCo-sponsored by: IEEE Canadian 
 Atlantic Section\n\nSpeaker(s): Dr. Issam Hammad\, \n\nVirtual: https://ev
 ents.vtools.ieee.org/m/514100
LOCATION:Virtual: https://events.vtools.ieee.org/m/514100
ORGANIZER:hamed.aly@dal.ca
SEQUENCE:20
SUMMARY:AI in Nuclear Energy: Regulation and Emerging Applications
URL;VALUE=URI:https://events.vtools.ieee.org/m/514100
X-ALT-DESC:Description: <br /><p data-olk-copy-source="MessageBody">&nbsp\;
 This talk will present emerging applications of Artificial Intelligence (A
 I) in the nuclear energy sector\, focusing on how Large Language Models (L
 LMs) and vision systems can enhance nuclear safety\, data interpretation\,
  and operational efficiency. Grounded in recent work involving CANDU syste
 ms and Canadian CSA standards\, the presentation will explore how AI can b
 e responsibly applied in highly regulated environments.</p>\n<p>In additio
 n to technical advances\, the talk will discuss how AI systems can be effe
 ctively regulated within the nuclear context\, examining current governing
  standards and their applicability to intelligent technologies. It will al
 so highlight ongoing developments in AI regulation\, emphasizing how evolv
 ing frameworks can support innovation while maintaining the industry&rsquo
 \;s core commitment to nuclear safety.</p>
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