BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20260221T095543Z
UID:A81B9F7C-A961-4CC2-B6CF-F0585A41AEBF
DTSTART;TZID=Asia/Kolkata:20260226T110000
DTEND;TZID=Asia/Kolkata:20260226T160000
DESCRIPTION:The IEEE Student Branch BITM\, Ballari in collaboration with th
 e Department of CSE (Data Science)\, RNS Institute of Technology\, Bengalu
 ru\, is organizing International Webinar Chapter IV on the topic “NLP in
  Memory Layer for Agentic AI”.\n\nThe session will be delivered by Ms. A
 nuja\, MS in Software Engineering from the University of Texas\, Dallas\, 
 US\, and former Software Engineer at Accenture (2021–2023). The webinar 
 aims to provide insights into how Natural Language Processing structures c
 onversational data into memory architectures for intelligent AI agents.\n\
 nThe session will cover:\n• Structuring conversational data into memory 
 layers\n• Semantic representations as long-term memory\n• Transition f
 rom RAG to linguistic memory architectures\n• NLP-based retrieval\, reas
 oning\, and memory evolution\n\nThis webinar will help students understand
  advanced AI memory frameworks and their applications in next-generation i
 ntelligent systems.\n\nCo-sponsored by: BITM &amp; RNSIT\n\nSpeaker(s): Ms. An
 uja\n\nVirtual: https://events.vtools.ieee.org/m/541222
LOCATION:Virtual: https://events.vtools.ieee.org/m/541222
ORGANIZER:abdulbitm@ieee.org
SEQUENCE:33
SUMMARY:International Webinar Chapter IV: NLP in Memory Layer for Agentic A
 I.
URL;VALUE=URI:https://events.vtools.ieee.org/m/541222
X-ALT-DESC:Description: &lt;br /&gt;&lt;p data-start=&quot;1219&quot; data-end=&quot;1454&quot;&gt;The IEEE
  Student Branch BITM\, Ballari in collaboration with the Department of CSE
  (Data Science)\, RNS Institute of Technology\, Bengaluru\, is organizing 
 International Webinar Chapter IV on the topic &amp;ldquo\;NLP in Memory Layer 
 for Agentic AI&amp;rdquo\;.&lt;/p&gt;\n&lt;p data-start=&quot;1456&quot; data-end=&quot;1781&quot;&gt;The sess
 ion will be delivered by Ms. Anuja\, MS in Software Engineering from the U
 niversity of Texas\, Dallas\, US\, and former Software Engineer at Accentu
 re (2021&amp;ndash\;2023). The webinar aims to provide insights into how Natur
 al Language Processing structures conversational data into memory architec
 tures for intelligent AI agents.&lt;/p&gt;\n&lt;p data-start=&quot;1783&quot; data-end=&quot;2026&quot;
 &gt;The session will cover:&lt;br&gt;&amp;bull\; Structuring conversational data into m
 emory layers&lt;br data-start=&quot;1859&quot; data-end=&quot;1862&quot;&gt;&amp;bull\; Semantic represe
 ntations as long-term memory&lt;br data-start=&quot;1908&quot; data-end=&quot;1911&quot;&gt;&amp;bull\; 
 Transition from RAG to linguistic memory architectures&lt;br data-start=&quot;1967
 &quot; data-end=&quot;1970&quot;&gt;&amp;bull\; NLP-based retrieval\, reasoning\, and memory evo
 lution&lt;/p&gt;\n&lt;p data-start=&quot;2028&quot; data-end=&quot;2163&quot;&gt;This webinar will help st
 udents understand advanced AI memory frameworks and their applications in 
 next-generation intelligent systems.&lt;/p&gt;
END:VEVENT
END:VCALENDAR