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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20260428T042510Z
UID:FB27EF2E-C31E-4A6B-999A-2CF6BA9A9D59
DTSTART;TZID=Asia/Kolkata:20260416T100000
DTEND;TZID=Asia/Kolkata:20260416T161500
DESCRIPTION:[]\n\nThe Workshop on Large Language Models (LLM) and Agentic S
 ystems in EdgeAI introduces participants to the rapidly evolving world of 
 intelligent\, autonomous AI systems designed for real‑time decision‑ma
 king at the edge. This session explores how modern LLMs power natural‑la
 nguage understanding\, reasoning\, and task automation\, and how agentic a
 rchitectures enable AI systems to act\, plan\, and collaborate with minima
 l human intervention. Participants will learn how EdgeAI brings these capa
 bilities closer to sensors and devices\, reducing latency and enabling fas
 ter\, privacy‑preserving computation. The workshop covers core concepts\
 , practical demonstrations\, and emerging applications across engineering\
 , healthcare\, smart cities\, and industry. By the end of the session\, le
 arners will understand how LLM‑driven agents can transform edge devices 
 into intelligent collaborators capable of perception\, analysis\, and auto
 nomous action. This workshop is ideal for students\, faculty\, and profess
 ionals eager to explore the future of AI‑enabled systems.\n\nThis sessio
 n is exclusively for hte students of St Vincent Pallotti College of Engine
 ering and Technology\, Nagpur\n\nCo-sponsored by: St Vincent Pallotti Coll
 ege of Engineering and Technology\, Nagpur\, Maharashtra\n\nSpeaker(s): Am
 rit Kumar\n\nBldg: Block B\, St Vincent Pallotti College of Engineering an
 d Technology\,\, Wardha Road\,\, Nagpur\, Maharashtra\, India\, 441108
LOCATION:Bldg: Block B\, St Vincent Pallotti College of Engineering and Tec
 hnology\,\, Wardha Road\,\, Nagpur\, Maharashtra\, India\, 441108
ORGANIZER:stanlywilson@stvincentngp.edu.in
SEQUENCE:34
SUMMARY:Workshop on Large Language Models (LLM) and Agentic Systems in Edge
 AI
URL;VALUE=URI:https://events.vtools.ieee.org/m/556852
X-ALT-DESC:Description: <br /><p><img src="https://events.vtools.ieee.org/v
 tools_ui/media/display/8c5caf8e-e9a1-4d2d-9e05-e01843951ac8" alt="" width=
 "957" height="1040"></p>\n<p>&nbsp\;</p>\n<p>The&nbsp\;<strong>Workshop on
  Large Language Models (LLM) and Agentic Systems in EdgeAI</strong> introd
 uces participants to the rapidly evolving world of intelligent\, autonomou
 s AI systems designed for real‑time decision‑making at the edge. This 
 session explores how modern <strong>LLMs</strong> power natural‑language
  understanding\, reasoning\, and task automation\, and how <strong>agentic
  architectures</strong> enable AI systems to act\, plan\, and collaborate 
 with minimal human intervention. Participants will learn how EdgeAI brings
  these capabilities closer to sensors and devices\, reducing latency and e
 nabling faster\, privacy‑preserving computation. The workshop covers cor
 e concepts\, practical demonstrations\, and emerging applications across e
 ngineering\, healthcare\, smart cities\, and industry. By the end of the s
 ession\, learners will understand how LLM‑driven agents can transform ed
 ge devices into intelligent collaborators capable of perception\, analysis
 \, and autonomous action. This workshop is ideal for students\, faculty\, 
 and professionals eager to explore the future of AI‑enabled systems.</p>
 \n<div>&nbsp\;</div>\n<div>This session is exclusively for hte students of
  St Vincent Pallotti College of Engineering and Technology\, Nagpur</div>
END:VEVENT
END:VCALENDAR