Sentence examples for costs of computing from inspiring English sources
Considering that the size of chemical databases can be expected to increase substantially, and given that the computational costs of computing the ACC for a network will increase, it may be of interest to explore the use of heuristics based methods to approximate the ACC.
"All of our engineers are focused" on reducing the costs of computing.
The ever decreasing costs of computing power and the rapid developments in the field of artificial intelligence make such approaches appealing.
Indeed, only the half-dozen major cyber players in the world – of which Britain is one – are really ahead of the criminals, terrorists and gentlemen amateurs these days, and their technological lead is dwindling as the costs of computing fall.
This behaviour would be considered boundedly rational if the costs of computing an acceptable boundary configuration were to increase with the level of accuracy required, because it would then be appropriate to tolerate small inequalities in district populations to save significant computational costs.
Earlier revolutions in information technology, such as Gutenberg's printing press, also had profound political effects, but the current revolution can be traced to Moore's law and the thousand-fold decrease in the costs of computing power that occurred in the last quarter of the twentieth century.
The computational cost of computing both derivatives is assessed and shown to be essentially the same as the standard Padé schemes.
Therefore, we save the computational cost of computing a third foreground mask based on this background model.
Hence, we can also use the integral image data structure to reduce the computational cost of computing local histograms needed by AHE.
The additional cost of computing priority scores in terms of number of set distance computations is equal to the number of overlapping queries ((|{mathbb {Q}}_{O,c}|)).
The rapid fall in sequencing prices may give genomics an equivalent of Moore's Law, which describes how the number of transistors on computer chips doubles every 18 months, steadily driving down the cost of computing power.
