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 ...

The analysis of cancer biology data involves extremely heterogeneous data sets, including information from RNA sequencing, genome-wide copy number, DNA methylation data reporting on epigenetic ...

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

Graph databases are gaining attention as enterprises work on their next-generation artificial intelligence (AI) applications. While still a bit of an outlier, graph-oriented databases continue to find ...

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 ...

Read the full column at charterworks.com. Advanced Data Analysis, a ChatGPT plugin developed by OpenAI, performs tasks like data analysis by running computer code in response to prompts given in plain ...

How would you feel if you saw demand for your favorite topic — which also happens to be your line of business — grow 1,000% in just two years’ time? Vindicated, overjoyed, and a bit overstretched in ...

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 ...