Researchers remain optimistic about the prospect of keeping track of the exaflood of data, from gene sequences and distant pulsar signals to YouTube videos and email. During the recent annual meeting of the American Association for the Advancement of Science, one session gave scientists and other academics an opportunity to learn more about some current strategies for storing data and using it productively. University of California at San Diego professor Larry Smarr demonstrated how genetic sequences from ocean bacteria can be coupled with environmental information about the organisms. Smarr said researchers were able to target specific gene sequences, annotated with helpful information. Meanwhile, Google researcher Hal Varian said the company’s Google Insights for Search analytical tools used information on individual searches for Toyota automobiles to accurately predict its sales volume.
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University of British Columbia’s (UBC’s) Steve DiPaola has uncovered a technique that he believes is responsible for making Rembrandt’s portraits so popular. DiPaola says Rembrandt may have created a technique that guides the viewer’s gaze around a portrait, creating a special narrative and calmer viewing experience. To isolate and pinpoint factors that contribute to the “magic” of Rembrandt’s portraits, DiPaola used computer-rendering programs to recreate four of the artist’s most famous portraits. DiPaola then tracked the viewer’s eye movements while they examined the original photographs and the Rembrandt-like portraits. “When viewing the Rembrandt-like portraits, viewers fixated on the detailed eye faster and stayed there for longer periods of time, resulting in calmer eye movements,” he says. The study is the first to scientifically verify the impact of these “eye guiding” techniques on viewers and to attribute its origin to Rembrandt.
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