New Techniques for Visualizing Network Data

By Jeffrey Heer, Ph.D., Stanford Making sense of the content and structure of large networks is a pressing “Big Data” problem.  Improved visualization methods for network data is one research focus in the Stanford Visualization Group, and this work provides … Continue reading

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Gaming IT Security

By Jeremy Kepner, Ph.D, MIT Lincoln Laboratory Video gaming technology has proven capable of providing realistic immersive experiences to game players.  Could it do the same for critical real-life situations – specifically, to provide better situational awareness of networks so … Continue reading

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Inside Three Intel Science and Technology Centers

An Interview with Jeff Parkhurst, Ph.D, Intel Labs The Intel Science and Technology Center Program is a series of research collaborations that Intel is establishing with U.S. universities to identify and prototype revolutionary technology opportunities. The centers are designed to encourage closer … Continue reading

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DBTruck: Humane Data Import

Replacing the Data Tweezers with a Data Dumptruck By Eugene Wu, MIT CSAIL Big Data doesn’t have to be petabytes to be big. It just needs to be difficult for the user to analyze or manage. While databases are designed … Continue reading

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