Context graphs is the new buzzword for agentic Systems of Knowledge, uncovering the key role of the tribal knowledge hidden in decision threads that inform enterprise activity.

Text mining and knowledge graphs connect cell-culture parameters to glycosylation for faster bioprocess optimization.

AI has officially entered the trader’s toolkit. What used to be reserved for hedge funds is now accessible to retail investors. But with dozens of AI trading pl ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Entity alignment is a critical process for unifying heterogeneous data sources by identifying and linking entities that refer to the same real-world object across different knowledge graphs. This ...

1. Long-Context Reasoning: Recursive language models (RLMs) now enable reasoning over effectively unlimited context, ...

Results of a KMWorld Survey Rapid adoption of generative AI (GenAI), combined with long-standing AI technologies such as machine learning, semantic search, knowledge graphs, and semantic layers, has ...

The digital asset market is moving through another intense phase, with price swings forcing traders to rethink short term and ...

Astrologer Kira Tabourn first fashioned that Astrological shorthand and it means Sun, Moon, Rising. More than likely, you’ve ...