Knowledge graphs were the hottest thing in AI architecture a year ago. But today, most teams have quietly shelved them for ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

A new contrastive learning framework called VMCL improves knowledge graph embedding for unseen entities and shows smooth, predictable gains as model capacity scales up.

Building on National Property Search, Schema MONKEE and Blog MONKEE engineer an interconnected entity web optimized for ...

AI agents need to understand how businesses work. Graphify’s rise shows why ontologies and knowledge graphs matter for the agentic enterprise and economy.

A new framework combining a 120,000-entity knowledge graph with contrastive learning outperforms traditional and graph-based ...

WALTHAM, Mass., April 4, 2025 (Newswire.com) - Today at the Bio-IT World Conference & Expo in Boston, Data4Cure, Inc. will present its latest advancements in AI-driven data integration and knowledge ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role. Over the past decade, there has been endless churn in technologies ...

TORONTO and BARCELONA, SPAIN and SYDNEY, June 29, 2026 /CNW/ - GreenCore Solutions Corp. (GSC), a leader in AI Agents for CPG manufacturers, today announced the launch of the industry's first CPG ...

Knowledge is the missing ingredient for autonomous operations. Vitria Technology logo (PRNewsfoto/Vitria Technology, Inc.) "AIOps is a key Technology for enabling self-healing network and autonomous ...

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 ...

Dell Technologies introduced new tools that aim to help artificial intelligence agents understand business data effectively.