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

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

TikTok super app now books hotels, streams full songs, tracks FIFA World Cup scores, and is pursuing a fintech license in ...

Cequence Launches Intent Graph And Biometric Check For AI Agents And Bot Traffic. As MCP and agentic commerce go live, new ...

Sivakumar is an enterprise architect with 20+ years delivering secure cloud and AI/ML systems in retail and fintech. Stablecoins were created to solve one of crypto’s biggest problems: volatility. A ...

Abstract: Detecting small targets in complex marine environments is challenging for radar systems. Existing methods relying on high-dimensional features often fail to account for correlations in radar ...

Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms. All of modern mathematics is built on ...

A set of vertices with each vertex having zero or more labels and zero or more properties/attributes. A set of edges with each edge being directed from one vertex to another vertex. Each edge has zero ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

The library sorting problem is used across computer science for organizing far more than just books. A new solution is less than a page-width away from the theoretical ideal. Computer scientists often ...

From learning the history of search to distinguishing entities vs. keywords, truly understand what entities are so you can achieve more targeted search traffic. There is a lot of confusion about how ...