Researchers poison stolen data to make AI systems return wrong results

Researchers affiliated with universities in China and Singapore have devised a technique to make stolen knowledge graph data ...
InfoWorld

Automated data poisoning proposed as a solution for AI theft threat

For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake ...

Data 2026 outlook: The rise of semantic spheres of influence

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.
IEEE

When Knowledge Graph Meets Retrieval Augmented Generation for Wireless Networks: A Tutorial and Case Study

Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
GitHub

PROPEX-RAG: Enhanced GraphRAG using Prompt Driven Prompt Execution

ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...