• April 2015
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Reducing Big Data Using Ideas From Quantum Theory Makes It Easier to Interpret

Queen Mary, University of London (04/23/15) Will Hoyles

Researchers from Queen Mary University of London (QMUL) and Rovira i Virgili University have developed a new method that simplifies the way big data is represented and processed. Borrowing ideas from quantum theory, the team implemented techniques used to understand the difference between two quantum states. The researchers applied the quantum mechanical method to several large publicly available data sets, and were better able to understand which relationships in a system are similar enough to be considered redundant. The researchers say their method can significantly reduce the amount of information that has to be displayed and analyzed separately and make it easier to understand. Moreover, the approach reduces the computing power needed to process large amounts of multidimensional relational data. “We’ve been trying to find ways of simplifying the way big data is represented and processed and we were inspired by the way that the complex relationships in quantum theory are understood,” says QMUL’s Vincenzo Nicosia. “With so much data being gathered by companies and governments nowadays, we hope this method will make it easier to analyze and make sense of it, as well as reducing computing costs by cutting down the amount of processing required to extract useful information.”


Intel Could Prolong Moore’s Law With New Materials, Transistors

IDG News Service (04/22/15) Agam Shah

Linley Group analyst David Kanter says Intel can keep Moore’s Law alive by making use of exotic materials and a new transistor design. Intel currently is manufacturing chips using 14-nanometer processes and is preparing to move production to a 10-nm process later this year or early next year. Many expect Moore’s Law, which says transistor density will double approximately every two years, to continue to hold true at least through the 7-nm process, which Kanter estimates will come online in 2017 or 2018. Beyond that horizon, he says Intel will have to turn to different materials and technology to continue to realize the gains predicted by Moore’s Law. Kanter expects Intel will start combining and eventually replacing silicon with other materials in the III-IV family, such as indium-gallium-arsenide. III-IV materials, which are based on elements from the third and fifth columns of the periodic table, are seen as successors to silicon because they are better conductors of electrons. Kanter says new transistor and gate structures based on quantum-well field-effect transistors also are likely to be important in future chips. He says these new materials and new technologies are the best options for continuing to increase transistor density.