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

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

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

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

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 ...

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...

Tencent has announced the open-source release of its Youtu-GraphRAG, a groundbreaking tool designed to improve the performance of large language models (LLMs) in handling complex question-and-answer ...

Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue for knowledge-intensive ...