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 ...

Python IDEs now assist with writing, debugging, and managing code using built in AI supportDifferent IDEs serve different ...

Abstract: Knowledge graph construction is aimed at storing and representing the knowledge of the objective world in a structured form. Existing methods for automatic construction of knowledge graphs ...

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 ...

The initial setup and installation of Claude and Claude-Flow was done in Codespaces. The idea for the demo was a brief chat with the Claude mobile app, saved as a file in the repo. Claude was used to ...

When it comes to learning something new, old-fashioned Googling might be the smarter move compared with asking ChatGPT. “LLMs are fundamentally changing not just how we acquire information but how we ...

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 ...

Mathematics-focused artificial intelligence startup Axiom Quant Inc. stepped out from the shadows today to announce it has raised $64 million in a funding round that values it at $300 million. The ...

Abstract: The integration of knowledge graphs into industrial product development workflows offers a promising solution for managing complex and heterogeneous data to enhance development efficiency.