As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

TORONTO, Jan. 27, 2026 /PRNewswire/ -- Themis Intelligence, a wholly owned subsidiary of Survalent Technology, today announced the advancement of its Utility Knowledge Base (UKB) and Human-Guided ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Obsidian Security today announced that it has extended the reach of its platform for protecting software-as-a-service (SaaS) ...

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 ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...

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

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...

A TechRadar article noted that nearly 90% of enterprise information (documents, emails, videos) lies dormant in unstructured systems. This "dark data" isn't just neglected; it's a liability. GenAI ...