GenAI adoption is accelerating across the enterprise, but business value is lagging behind. The limitation is not model intelligence, but missing context. Download this special report to learn how ...

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

Abstract: Recently, the integration of large language models (LLMs) and knowledge graphs (KGs) is a research focal point, since they have complementary strengths and weaknesses for logical reasoning.

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 ...

Abstract: Temporal data analysis plays a pivotal role in applications such as weather forecasting, traffic flow management, energy consumption monitoring, and other areas of urban computing. In recent ...