In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

By integrating and visualizing previously dispersed data on Mazda's domestic operations with Fujitsu Data Intelligence PaaS, Fujitsu will help to enable data-driven and rapid decision-making. For ...

Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from ...

We present the results of two controlled experiments to compare ER and UML class diagrams, in order to find out which of the models provides better support during the comprehension of data models. The ...

A pre-planned secondary analysis was performed in which the primary outcome was the dependent variable and treatment allocation, centre, type of surgery and age were included as covariates in a ...

With the ever-increasing volume of data, alternative strategies are required to divide big data into statistically consistent data blocks that can be used directly as representative samples of the ...