Sentence examples for massive amounts of processing from inspiring English sources

Exact(2)

The effort requires massive amounts of processing power coupled with unprecedented amounts of storage.

What they imagined is a fractal-inspired cloud that would be at home in a Miguel Chevalier installation, but required massive amounts of processing power and disk space to render.

Similar(58)

I suspect that you'll start to see some trickle-down characteristics eventually from the investments that defense is making in communications and processing that are associated with this phenomenon of moving from platforms to networks and needing this massive amount of processing of information in near real time.

A critical threshold seems to have been crossed, allowing programmers to use clever algorithms and massive amounts of cheap processing power to wring a semblance of intelligence from circuitry.Evidence of this is all around.

But it has come into its own only recently, as the transistor (another AT&T invention) got so cheap that it became practical to apply massive amounts of data processing to a single phone call or modem connection.

Since each single microarray hybridization experiment produces massive amounts of data, handling, processing and analyzing the data become challenging tasks and the application of bioinformatics is absolutely essential.

Many advances in the database community have emerged, and been popularized, to achieve horizontal scalability when processing massive amounts of data in Clouds.

For companies controlling and processing massive amounts of data, investment in infrastructure, whether technical or legal, comes low on the list of priorities in terms of time and financial investment.

Watson made headlines back in 2011 by winning Jeopardy, and now it's helping doctors treat cancer patients by processing massive amounts of clinical data and cross-referencing thousands of individual cases and medical outcomes.

Today, Quoc and his colleagues at Google rolled out a new translation system that uses massive amounts of data and increased processing power to build more accurate translations.

In general, time domain correlation-based parallel solutions require massive amounts of very simple arithmetic processing and are not very practical to be implemented in software.

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