A machine-learning algorithm demonstrated the capability ... "Our implementation simply breaks down the big data into smaller units that can be processed with the available resources.

The first available use case for BeeKeeper, Mount Sinai and Morehouse is for chronic heart failure (CHF). AI model developers ...

What are machine learning algorithms? Recall that machine learning is a class of methods for automatically creating models from data. Machine learning algorithms are the engines of machine ...

IntroductionThe UK water industry faces significant challenges in ensuring the accuracy and quality of the vast amounts of ...

Manufacturing execution systems (MES) generate mountains of data. Deciphering the data, however, often consumes hours daily.

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

Devoted to faculty and students that are interested in developing new machine learning algorithms and techniques ... provides the intelligence underlying fields sometimes known as big data analytics, ...

BLKB, CFLT and CME are revolutionizing Big Data with AI-powered tools, transforming industries from finance to social media.

Combining this information with current and historical satellite data, they trained a machine-learning algorithm to assess ... "Ten meters by ten meters is a big square. When sunlight falls ...