Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Abstract: In many areas of knowledge, situations in which we have to model and solve optimization problems are recurrent. Among the mathematical theories that support the solution of such problems, ...

Entity alignment seeks to find entities in different knowledge graphs (KGs) that refer to the same real-world object. Recent advancement in KG embedding impels the advent of embedding-based entity ...

There are options strategies for all market conditions. With a correct options strategy, you can generate revenue in a negative, neutral or positive market. Whether you're just starting out with ...

Abstract: A noninvasive ultra-wide band (UWB) partial discharge technique was employed in high capacity motors diagnosis. Those motors are installed and operating in an oil pumping plant. The ...

We introduce ClinGraph, a clinical knowledge graph that integrates 8 EHR-based vocabularies, and ClinVec, a set of 153,166 clinical code embeddings derived from ClinGraph using a graph transformer ...

Your browser does not support the audio element. In this blog we will walk through a comprehensive example of indexing research papers with extracting different ...

The model can quickly search documents, whether they are text-based or include images, diagrams, graphs, tables, code, diagrams, or other components. Embedding models help transform complex data — ...

Dynamics on networks describe a plethora of physical phenomena, including the viral spread on contact networks, the competition between species on predator–prey networks, and magnetoencephalography ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...