Big Data has imposed great challenges for machine learning. Bayesian methods provide a profound framework for characterizing the intrinsic uncertainty and performing probabilistic inference and ...

A research group has developed a new learning method for artificial intelligence that combines classification performance for data with multiple labels with the ability to learn continually from data.

Big data is often differentiated by velocity, veracity, volume and variety—but building up one aspect of these four V's means foregoing another.

Though Big Data is of use to almost every type of industry, including small-scale and even cottage industries, some sectors are already dependent on Big Data. They have long implemented or, rather ...

These advances depend on the use of computational methods to analyze large-scale datasets derived from genomic tests and other omics technologies. This workshop examined the challenges and ...

Qualitative data reveals vital information about customers’ emotions, motivations, preferences and perceptions. Through methods such as interviews and focus groups, marketers can gather rich ...

Big data can help make Americans healthier, and the Trump Administration has stated—in its recently released Make America Healthy Again report and elsewhere—that building a national big-data ...