Tag: Data Science Institute2
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Machine Listening for Earthquakes
In a new study, researchers show that machine learning algorithms can pick out different types of earthquakes from three years of data at Geysers in California. The repeating patterns of earthquakes appear to match the seasonal rise and fall of water-injection flows into the hot rocks below.
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So Much Depends on a Tree Guard
Adding protective barriers around street trees could reduce load on city sewers, study finds.
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Increasing Tornado Outbreaks: Is Climate Change Responsible?
In a paper published in the journal Science, researchers looked at increasing trends in the severity of tornado outbreaks, measured by the number of tornadoes per outbreak. They found that these trends are increasing fastest for the most extreme outbreaks.
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New Group Takes On Massive Computing Needs of Big Data
The sheer number of observations now streaming from land, sea, air and space has outpaced the ability of most computers to process it. The Data Science Institute’s newest working group —Frontiers in Computing Systems—will try to address some of the bottlenecks facing scientists working with these and other massive data sets.
