Sentence examples for machine processing of from inspiring English sources

Exact(1)

We describe a theoretical and computational foundation for machine processing of certain forms of diagrammatic information and show its usefulness in enabling a system to draw inferences from diagrammatic information, make decisions using diagrammatic information, learn from diagrammatic information, solve problems posed diagrammatically, and communicate diagrammatically in a variety of domains.

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Yet, perhaps the greatest hope for fixing all of these issues is the use of machine processing to add contextual links, extract details and enrich Wikipedia's archives through external sources.

Instead of an enormous machine processing tons of coffee at a time, a collection of small freeze dryers are employed.

The first objective of our presented model related to cost components is to minimize the total costs of intra- and inter-cell material handling, machine relocation, purchasing new machines, machine overhead cost, machine processing, and forming of cells.

As we gather ever increasing amounts of information, it requires machine processing power to help make sense of that growing pile of data.

It enables the capability of manufacturing the complete set of the LLTCC coal mining equipment in China, driving the development of machine processing technology, electromechanical integration technology, and automation and information technology.

Upon ascertaining this similarity, Ilbeyi set about to repurpose PyPy's JIT compiler framework for machine processing by defining the semantics of processor instructions in the framework.

Scalability The computational and storage requirements coupled with rapidly growing RDF datasets have stressed the limits of single machine processing.

These massive calculations were performed on a 64 GB RAM, four Intel Xeon 2.33 GHz CPU machine, as processing of a single dataset required about 15 GB of main memory.

In terms of what data Oden's device captures, Sundblad explained that it typically consists of metrics that relate to machine process, health, the processing of the part/product, and quality.

Companies such as Facebook and Google owe their success to a virtuous cycle: More data leads to a product that is better trained with AI which leads to more users and making more money, enabling the hiring of more scientists and the acquisition of more machines, processing and mining even more data.

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