Sentence examples for processing large quantities of data from inspiring English sources

After seeing results from a new field called deep learning, which involves processing large quantities of data using simulated networks of millions of interconnected neurons, some experts have come to believe that this goal isn't so distant after all (see "Deep Learning" and "Facebook Creates Software That Matches Faces Almost as Well as You Do").

Without a cluster, processing large quantities of data using just a local Galaxy server is not practical due to the amount of time necessary for analysis to complete.

I long ago devised a basic method for processing large quantities of courgettes, and it's the starting point for a host of recipes.

Their popularity stems in large part from their ability to process large quantities of data with a speed that goes beyond the processing power of any other streaming or batch learning algorithm.

Similarly, traditional data processing techniques have several limitations of processing large amount of data.

Larger organizations, or organizations of any size that either collect or process large quantities of personal data, must appoint a data protection officer responsible for GDPR compliance.

Automatic detection and statistical classification of sounds will continue to be fertile topics for further research, as these will allow the efficient processing of large quantities of data (e.g. Parsons & Jones, 2000; Acevedo et al., 2009), making methods cheaper and faster, and hence more appealing.

Digital threat hunting refers to proactively analyzing large quantities of data, processing information that is both internal to a business and generated from public internet data sets.

A Data Grid is a wide area computing infrastructure that employs Grid technologies to provide storage capacity and processing power to applications that handle very large quantities of data.

This produces large quantities of data, and hence automated image processing algorithms are needed to extract useful quantitative measures of the observed phenomena.

In addition, cloud computing supports high-performance computing, in which large quantities of data are analysed through parallel processing on multiple computers [ 41, 42].