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\section{Research Direction}  We are using this observing mode in the first efforts to detect and image a new class of radio transient called "fast radio bursts" (FRBs; Thornton et al. 2013, Science, 341, 53). FRBs are believed to be cataclysmic events that originate half way across the universe. Their great distance has only been inferred; no direct distance measurement exists, since FRBs have only been dtected with telescopes with a poor ability to localize sources. Our commissioning of the VLA and the algorithms for millisecond transient detection has positioned us to make the first precise localization of FRBs.  The internet is too slow to transport the 1 TB hour$^{-1}$ data stream, so we ship disks to our computing centers. This approach is complex and not sustainable in the large campaigns needed to find many fast radio transients.  I am interested in developing the concept of \emph{real-time anomaly detection} for massive data streams from radio interferometers. Real-time anomaly detection allows dynamic, data-based decisions that can change the way we collect data. In the study of radio transients, real-time detection allows us to throttle the data stream to only the brief moments of interest. This process of \emph{data triage} will be a key strategy to extracting science in data-intensive searches for "a needle in the haystack".  %The technical requirements for our radio transient searchs are extreme in astronomy, but are becoming more common (e.g., see plans for the SKA and LSST). Lessons learned from our project will have increasing relevance to scientists working to solve the "needle in a haystack" problem.