Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

Knowledge Graph, Large Language Model, BERT, Knowledge Management, Small and Medium-Sized Enterprises, Accounting, Supply Chain Management Zheng, Y. (2026) Knowledge Graph Application in KM for ...

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

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

Abstract: Knowledge graph is a form of data representation that uses graph structure to model the connections between things. The intention of knowledge graph is to optimize the results returned by ...

Introduction: Nature finance involves complex, multi-dimensional challenges that require analytical frameworks to assess risks, impacts, dependencies, and systemic resilience. Existing financial ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

Many US government agencies and organizations are involved in countering weapons of mass destruction (CWMD). While overall goals and specific mission objectives vary, the US government typically ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. John "Hannibal" Smith (George Peppard) loved it when a plan ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...