Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to ...

This investigation was supported by the Pulitzer Center’s Artificial Intelligence Accountability Network  Investigative ...

The data engineer started as a casual reader of the Jeffrey Epstein files. Then he became obsessed, and built the most ...

The image of the lone, intuitive trader chasing quick profits is gradually giving way to something more disciplined. A growing cohort of retail traders is adopting principles long associated with ...

Silva, both Engineers at Netflix, presented “Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale” at QCon London 2026, where they discussed the design and implementation ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...

AI hallucinations about a brand come in many types: A generative AI system might show a person who isn’t the actual founder, display the wrong address for the headquarters, or describe an old product ...

For years, SEOs optimized pages around keywords. But Google now understands meaning through entities and how they relate to one another: people, products, concepts, and their topical connections ...

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 ...