It competes based on its ability to parse a problem across thousands of processors, race through its massive data reserves, evaluate a near-infinite number of options, make the relevant correlations, narrow the possibilities and arrive at what it identifies as the highest-probability correct answer.
"I think it augurs some serious new - and useful - approaches to sifting through massive amounts of related data, " he said.
Developed in 2009 in collaboration with the Centers for Disease Control, the tool digs through massive amounts of search data (all anonymous) looking for flu-releated searches around the world and maps out the intensity of outbreaks.
The two companies aim to help gene researchers quickly sift through the massive amounts of DNA data and medical record information in search of crucial genetic variations that can increase the risk of everything from heart disease to diabetes.
While the market for regular computers has certainly been impacted by smartphones, tablets and other thin clients that are served by massive data centers through the cloud there is still a market for faster personal computers using flash memory (especially in combination with HDDs).
Another of the Le Web speakers will be Nick Halstead, the founder of Datasift, a platform that enables companies to interpret massive amounts of data through social media networks like Twitter and Facebook.
Without combing through and attempting to aggregate the massive data available from the regulatory agencies, we cannot really know the scope of affected products on an industry-by-industry basis or whether there actually are significant increases in recall numbers.
Companies might also find that the massive job of going through all their existing data and inserting semantic tags is just too daunting a job to tackle, even if it might save time and money somewhere down the line.
Through a set of automated APIs, you can build and configure massive computing capabilities in minutes, drive huge amounts of data and traffic through them, and tear them down just as quickly.
We acquired InfoEx which brings tremendous ability to take massive amounts of data, run it through a relevance engine, and deliver the results to participants through behavioral patterning, much the way Netflix does.
He was a seeker after first causes and had the mental prowess to plow through massive amounts of information and ideas, simultaneously considering the data, the pragmatics, the theory, and the theory of theory.
And we need faster research that takes advantage of the massive amounts of data we can generate about education through digital learning.
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Failing to do so will result in massive degradation in service quality to consumers, whether it is through explicit use of data caps or through network congestion that results from a lack of funding for network expansion.
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