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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.
Such advances help drive the cost of computing power downward.
Thanks to the constantly falling cost of computing power, a start-up needs less money to get off the ground.
So why do weapons not follow Moore's Law, which predicts the rapid fall in the cost of computing power?
Many people are vaguely familiar with Moore's law; we recognise that it has something to do with the tumbling cost of computing power, for instance.
At the same time, the cost of computing power was plunging, following the trajectory of Moore's law (which states, roughly, that the cost of a given amount of computing power halves every 18 months).
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The ever decreasing costs of computing power and the rapid developments in the field of artificial intelligence make such approaches appealing.
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.
With the costs of data transmission decreasing as fast as the costs of computing power, practical opportunities for global teleradiology are rapidly increasing as the cost effectiveness of PACS and digital radiology increases.
In the last decade, costs of computing power hardware have come down, whereas the costs of proprietary software licenses and maintenance fees have remained almost unchanged or increased, limiting the use of such software systems outside developed nations [ 13].
The cost and availability of computing power is described in the context of cluster computing and its importance for CFD.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com