Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models. By ...

A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs. Nvidia has long ago stopped ...

Overview: Data analysis software makes sense of large amounts of information quickly.Tools like R, Python, and SPSS simplify research and statistical studies.Vi ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 53, No. 2 (2004), pp. 249-260 (12 pages) ...

The relentless march of digital technology (and I have to admit I’m getting really tired of saying that) assures that all organizations will adopt AI in some form to stay competitive. The accumulative ...

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users to ...

Alongside the MCP launch, Amplitude also today introduced the open beta of Amplitude AI Agents, a set of tools that ...

The brain’s function and integrity emerge not only from properties of individual regions, but, more fundamentally, from the intricate web of connections ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.

With the NBA playoffs in full swing, we are used to having statistics nuggets thrown into game coverage. While it has been argued that not every aspect of the game should be purely data driven, sports ...