Sentence examples for improvement in computing from inspiring English sources

These lead to a slight deterioration of the quantization error with respect to the serial version but a large improvement in computing efficiency.

A decade ago everyone talked about the massive price/performance improvement in computing.

Using distributed ledgers and storing multiple copies of them is something that has helped been made possible by the improvement in computing technology, according to Dave Birch, at consultants Consult Hyperion.

Steady investment, he said, can save money fairly quickly because of the rapid pace of improvement in computing technology.

Because computer programs and humans are close substitutes for such jobs, and given the predictable improvement in computing power, there seems to be no technical obstacle to the redundancy of workers across much of the service economy.

It was clear to many physicists that using "qubits"—which, unlike ordinary bits, can exist in a "superposition" of the values 0 and 1 simultaneously might yield an exponential improvement in computing power.

The RH bound computation will also benefit from future improvements in computing the pairwise reticulate distances.

Improvements in computing speed and capacity and the increasing collection and digitisation of geological data now allow geoscientists to produce meaningful 3D spatial models of the shallow subsurface in many large urban areas, to predict ground conditions and reduce risk and uncertainty in urban planning.

"Improvements in computing technology have enabled the processing of greater data sets in less time, but the technology to enable efficiency of that process has not kept pace with agility demands of today's businesses," explains Robin Systems Chairmann and founding investor Rajeev Madhavan in today's announcement.

Although general improvements in computing speed may be the cause of some of this improvement, the FDA approach is clearly faster than previous approaches to nonlinear model fitting.

These computational limitations make our strategy appropriate in large scale candidate gene studies, but may be limited in application to genome-wide association studies until further improvements in computing speed are realized or very large-scale computing resources are available.