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

New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...

Nebulock, the AI-native contextual security platform, today announced it has raised $25 million in Series A financing led by ...

In this video, we provide essential "math help" by explaining the process of "completing the square" to convert "quadratic ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Pinterest launches Ask Pinterest, an AI-powered shopping app using its Taste Graph to deliver personalized recommendations ...

Roese's predictions: stronger AI governance, better data management, agentic AI infrastructure, resilient AI factories, and sovereign AI strategies.

pggb builds pangenome variation graphs from a set of input sequences. A pangenome variation graph is a kind of generic multiple sequence alignment. It lets us understand any kind of sequence variation ...

Retrieval-augmented generation (RAG) has emerged as a pivotal framework in AI, significantly enhancing the accuracy and relevance of responses generated by large language models (LLMs) leveraging ...

Abstract: A large number of real-world systems generate graphs that are structured data aligned with nodes and edges. Graphs are usually dynamic in many scenarios, where nodes or edges keep evolving ...

Abstract: Distributed optimization aims to optimize a global objective formed by a sum of coupled local convex functions over a graph via only local computation and communication. In this letter, we ...