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IBM Research today unveiled a breakthrough method based on a mathematical algorithm that reduces the computational complexity, costs, and energy usage for analyzing the quality of massive amounts of data by two orders of magnitude. This new method will greatly help enterprises extract and use the data more quickly and efficiently to develop more accurate and predictive models.

In a record-breaking experiment, IBM researchers used the fourth most powerful supercomputer in the world -- a Blue Gene/P system at the Forschungszentrum Julich in Germany -- to validate nine terabytes of data (nine million million or a number with 12 zeros) in less than 20 minutes, without compromising accuracy.

Additionally, the process used just one percent of the energy that would typically be required.

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Scientists at IBM Research, together with collaborators from Central Glass, KACST and the University of Texas, Austin have created a new membrane that filters out salts as well as potentially harmful toxins in water such as arsenic while using less energy than other forms of water purification.

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