Sentence examples for ever processing from inspiring English sources

Andrews says that people using these speed-reading techniques are only ever processing an incomplete version of the text.

To accelerate ClassyFire's processing time, all of the chemical structures it has ever processed and all of the corresponding taxonomic/ontological outputs it has ever produced are stored in a local MySQL database.

Devices and software have become more robot-ready out of the box, and supported by cloud-based computing that is likewise better than ever at processing huge amounts of data and working with local pocket-sized supercomputers in a reciprocal relationship of machine learning, even the word "automation" means something entirely different from it did at CES just two years ago.

This paper presents the first-ever processing experiment on relativization in Avar, an ergative language with prenominal relatives.

Aptly named after a googol -- a one followed by 100 zeros -- Google began requiring expansive memory and ever-increasing processing speed to keep up with users' demand for search.

In place of sophisticated new battery technologies, this could be what Apple turns to to make iPhones balance ever-increasing processing power and energy demands, and it is a logical development for mobile computing in general.

However, this becomes inefficient for real-world situations where the workloads are intrinsically dynamic in terms of their busty arrival patterns and ever changing unit processing costs [9].

Zooming out further, Carter notes that the large e-commerce players are processing ever more yearly transactions and this requires "industrial scale and robust solutions that can record terrabytes of daily user activity to help with support and diagnose problems in the conversion funnel which can cost millions in lost revenue should they not be spotted early enough".

The number of slaughterhouses are dwindling nationwide, creating a bottleneck in processing ever more popular high-end meats in regions like the Bay Area.

Experimentalists use computation for data analysis, processing ever bigger data sets.

Applications are becoming more intelligent and more data-intensive, processing ever-increasing amounts of data, incorporating machine learning and predictive engines and creating highly personalized consumer experiences.