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 investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’ ...

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

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

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 ...

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

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 ...

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 ...

When a quantum computer processes data, it must translate ... target quantum compilation algorithm. They published their new study in the journal Machine Learning: Science and Technology on ...