A collaborative effort between the universities of Cordoba and Granada improved the spatial resolution of monthly climate data from 22,000 years ago to the year 2100, enabling more localized and ...

The appearance of thousands of formulaic biomedical studies has been linked to the rise of text-generating AI tools.

A new publication by two University of Cincinnati researchers contends that adjusting how researchers approach their statistical analysis has the potential to change the lives of children and ...

Summa Health's experience with Sepsis Watch shows the difficulties in implementing AI in a community hospital.

There are two threats currently facing government data agencies: inadequate funding and political interference.

A merger between the Office of Strategic Analytics and Insights and the Office of Data Transformation will integrate cross-functional data experts as part of the new Department of Strategic Data and ...

Retail runs on data. Major brands rely on thousands of data points to predict what customers want, determine how much inventory to keep in each store, and more. Despite endless dashboards and AI hype, ...

Kenya is now adopting a new strategy aimed at modernizing its statistical infrastructure to meet the increasing needs.

In the Internet of Things (IoT) area, the increase of data leads to the "Big data'' problem. The traditional relational database (RDB) is not being able to deal with processing big data. In contrast, ...

esProc SPL is a JVM-based programming language designed for structured data computation, serving as both a data analysis tool and an embedded computing engine. - SPLWare/esProc ...

Data analytics is the science of analyzing raw data in order to make conclusions about that information. It helps businesses perform more efficiently and maximize profit.