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

About 3 percent of Delta’s domestic ticket prices are now determined by artificial intelligence (AI), with plans to raise ...

How NaijaCoder is empowering Nigerian teens with algorithmic thinking skills through hands-on coding education, mentorship, ...

With the recent first light milestone for the Vera Rubin Observatory, it's only a matter of time before one of astronomy's most long-awaited surveys begins. The Legacy Survey of Space and Time (LSST) ...

Decision tree induction algorithms are widely used in knowledge discovery and data mining, specially in scenarios where model comprehensibility is desired. A variation of the traditional univariate ...

Permanent magnet arc motor (PMAM) is widely used in some scanning systems, such as the astronomical telescopes and large antennas. In order to address the optimization design of the PMAM, a new ...

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...

Decision tree algorithms have been successfully applied to various agricultural contexts, such as classifying raisins by size, shape, color, and texture (Raihen & Akter, 2024), identifying data types ...