International Webinar Chapter IV: NLP in Memory Layer for Agentic AI.
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 “NLP in Memory Layer for Agentic AI”.
The session will be delivered by Ms. Anuja, 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 conversational data into memory architectures for intelligent AI agents.
The session will cover:
• Structuring conversational data into memory layers
• Semantic representations as long-term memory
• Transition from RAG to linguistic memory architectures
• NLP-based retrieval, reasoning, and memory evolution
This webinar will help students understand advanced AI memory frameworks and their applications in next-generation intelligent systems.
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
Loading virtual attendance info...
- Contact Event Hosts
- Co-sponsored by BITM & RNSIT
Speakers
Ms. Anuja
International Webinar Chapter IV: NLP in Memory Layer for Agentic AI
Ms. Anuja is a Software Engineering professional with a Master of Science in Software Engineering from the University of Texas at Dallas, USA. She previously worked as a Software Engineer at Accenture (2021–2023), contributing to the development of scalable and intelligent software solutions.
Her expertise includes Artificial Intelligence, Natural Language Processing (NLP), and advanced AI memory architectures. She focuses on how conversational systems structure semantic information into memory layers for building intelligent and autonomous AI agents.
In this session, she will provide insights into NLP-based memory frameworks, semantic representations for long-term memory, the transition from RAG to linguistic memory architectures, and AI-driven retrieval and reasoning mechanisms for Agentic AI systems.
Biography:
Ms. Anuja holds a Master of Science in Software Engineering from the University of Texas at Dallas, USA. She previously worked as a Software Engineer at Accenture (2021–2023), where she contributed to the development of scalable and intelligent software systems.
Her areas of interest include Artificial Intelligence, Natural Language Processing (NLP), and AI-driven memory architectures. She focuses on designing conversational systems that structure semantic information into long-term memory frameworks for intelligent and autonomous AI agents.
Address:Dallas, United States