Each model feeds back into a unified decision matrix that ranks opportunities based on confidence levels. To maintain model ...

Memgraph, a leader in open-source in-memory graph databases purpose-built for dynamic, real-time enterprise applications, is releasing two new tools specifically architected to open up the power of ...

Microsoft has invested in semantic models for over a decade through Power BI. These models encapsulate business logic and ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Today, many enterprises are discovering that their existing data architectures simply weren't designed for the demands of AI ...

Abstract: Pedestrian trajectory prediction aims to forecast future movements based on historical paths. Spatial-temporal (ST) methods often separately model spatial interactions among pedestrians and ...

Researchers have developed a graph-based expert system that improves the accuracy and prediction stability of automated bank ...

A new open-access tool created by University of Toronto Engineering researchers provides a systematic way to organize and ...

Chainlink balances a UBS tokenization pilot, weakening chart support and softer CCIP volumes as institutional and onchain ...

Chronosphere challenges Datadog with a new AI observability tool that explains root causes, helping engineers troubleshoot ...

As people upskill and AI automates entry-level work, how does HR develop the talent pool to fill experienced mid-career roles ...