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#81 Dr. Majid Fekri on Building AI RAG Systems, Vector Databases and Information Theory
Featured Guest: Dr. Majid Fekri, Co-Founder & CTO, Edge AI Innovations
đź“ŤToronto, Canada
...
In this episode, Dr. Majid explores the intersection of edge AI and information theory. He shares his vision of running AI efficiently on small devices while preserving privacy and reducing energy consumption.
Dr. Majid explains how his company developed a unique approach to retrieval augmented generation (RAG) for edge devices by redefining what "relevance" means through information theory. Their solution uses Shannon's theory of information as the foundation to compress vector signals into binary format, making operations extremely fast and efficient while maintaining accuracy.
Dr. Majid also discusses the challenges of deploying AI systems we don't fully understand, the mystery of vector spaces in neural networks, and how their approach provides more mathematical control over AI behavior.
...
Links:
https://www.edgeaiinnovations.com/
Dr. Majid’s Research Papers: https://scholar.google.ca/citations?user=iCsHW4EAAAAJ&hl=en
Moorche Serverless RAG Demo: https://www.youtube.com/watch?v=Ehq8wkxIUZM
Further Reading about the Episode: https://suite.sundaypyjamas.com/share/23b32843-86dd-42cf-8367-18308bfd5666
...
About SundayPyjamas AI Suite:
A Suite for teams to collaborate with AI: The all-in-one platform for collaborative content creation: streamline workflows with real-time editing, AI-powered assistance, secure access, and effortless export.
Join the Pilot Program: https://cal.com/sundaypyjamas/pilot
Learn more: https://suite.sundaypyjamas.com/
...
Credits:
Designed by the Research Labs Platform
Produced by SundayPyjamas®
Created & Hosted by Prathamesh Patel
Podcast Strategy & Production by Nishi Panchal
Music: Ukiyo - Calling (EP)
Copyright of SundayPyjamas Inc. 2025
View all episodes
By SundayPyjamas
5
11 ratings
Featured Guest: Dr. Majid Fekri, Co-Founder & CTO, Edge AI Innovations
đź“ŤToronto, Canada
...
In this episode, Dr. Majid explores the intersection of edge AI and information theory. He shares his vision of running AI efficiently on small devices while preserving privacy and reducing energy consumption.
Dr. Majid explains how his company developed a unique approach to retrieval augmented generation (RAG) for edge devices by redefining what "relevance" means through information theory. Their solution uses Shannon's theory of information as the foundation to compress vector signals into binary format, making operations extremely fast and efficient while maintaining accuracy.
Dr. Majid also discusses the challenges of deploying AI systems we don't fully understand, the mystery of vector spaces in neural networks, and how their approach provides more mathematical control over AI behavior.
...
Links:
https://www.edgeaiinnovations.com/
Dr. Majid’s Research Papers: https://scholar.google.ca/citations?user=iCsHW4EAAAAJ&hl=en
Moorche Serverless RAG Demo: https://www.youtube.com/watch?v=Ehq8wkxIUZM
Further Reading about the Episode: https://suite.sundaypyjamas.com/share/23b32843-86dd-42cf-8367-18308bfd5666
...
About SundayPyjamas AI Suite:
A Suite for teams to collaborate with AI: The all-in-one platform for collaborative content creation: streamline workflows with real-time editing, AI-powered assistance, secure access, and effortless export.
Join the Pilot Program: https://cal.com/sundaypyjamas/pilot
Learn more: https://suite.sundaypyjamas.com/
...
Credits:
Designed by the Research Labs Platform
Produced by SundayPyjamas®
Created & Hosted by Prathamesh Patel
Podcast Strategy & Production by Nishi Panchal
Music: Ukiyo - Calling (EP)
Copyright of SundayPyjamas Inc. 2025