Recent research highlights how advanced AI techniques, including prompt engineering, retrieval-augmented generation (RAG), and graph-based enhancements, can improve the efficiency and accuracy of ...

Anthropic’s Model Context Protocol (MCP) is emerging as a standardized way for large language models to connect with external tools and data sources, promising more dynamic, agent-like behavior. While ...

The results have been impressive by the metrics that matter to technology teams: accuracy rates, processing speeds, cost ...

AWS Quick's desktop agent builds a personal knowledge graph from local files and SaaS tools, creating a governance gap ...

Chemists and computer scientists tapped AI to find new disinfectants to combat the growing threat of dangerous "superbugs." ...

Vehicle affordability is trending in a very positive direction. Here’s what the data show, along with some context on why ...

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...

A formal ontology and labeled property graph for multi-framework business model representation, grounded in Basic Formal Ontology (BFO) and implemented in Neo4j. Companion repository for the paper: ...

Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...

Abstract: In modern quantitative finance and portfolio-based investment, modeling latent interactions among stocks is paramount for prediction and decision-making on profit, risk management, hedging, ...