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 ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

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

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.

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 ...

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

and a Jupyter notebook lab/Peer Review to implement the PCA algorithm. This week, we are working with clustering, one of the most popular unsupervised learning methods. Last week, we used PCA to find ...

A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It ...