Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

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

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 ...

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

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

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

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

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’s the lack of any data at ...

AI and machine learning are revolutionising the supply chain industry by automating key functions like logistics, forecasting ...

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 ...

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 ...