Introduction: Due to the vastness of various construction practices globally, there is a need for knowledge mapping. Through the utilisation of research on Project Risk Management (PRM) for the ...

Document review consumes roughly 80 percent of e-discovery spend, according to RAND Corporation research. As seasoned litigators know, cases can settle over the prospect of review costs alone.

This paper investigates the integration of Large Language Models with Knowledge Graphs (LLM-KGs) into the pedagogical framework of higher education, specifically within innovation and entrepreneurship ...

Abstract: Knowledge Graphs (KGs) have emerged as powerful tools for organizing and representing structured knowledge, enabling advanced reasoning and intelligent applications across diverse domains.

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 ...

This project is an LLM-based knowledge graph construction system that extracts entities, relationships, and personality traits from text documents to build structured knowledge graphs. The project ...

According to @deeplearningai and @akollegger, their new course 'Agentic Knowledge Graph Construction' demonstrates how leveraging a team of AI agents can automate the ...

According to DeepLearning.AI (@DeepLearningAI), a new short course titled 'Agentic Knowledge Graph Construction' has been launched in collaboration with Neo4j and led by Andreas Kollegger (@akollegger ...

Health systems are increasingly turning to generative AI to tackle persistent pain points in RCM, especially in the labor-intensive mid-cycle. During a recent conversation hosted by Becker’s ...