How does MRI work, why does it take so long, and how can we speed it up? In this teaching demonstration, we'll answer these questions in the context of a lecture in an image processing or computational imaging course. We'll discuss how a magnetic field can produce signals from our body and how we can convert those signals into an image. This lecture provides a view of what is being done in clinics and research labs to speed up MRI in an effort to reduce healthcare costs, increase patient comfort, and open the doors to new live-saving imaging techniques.

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Who attends: Tenured Associate Professors, Full Professors and the equivalent in the teaching track, systems track, and research track. 

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Who attends: All faculty at or above the level of reappointed Assistant Professors and the equivalent in the teaching track, systems track, and research track. 

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  • Play vintage computer games on our huge collection of consoles!  We're got thousdans of classics to choose from!
  • Featuring games from the '70s all the way to the early 2000s!
  • Spend the night reliving childhood memories and playing classiv video games, all on their original consoles!

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Tuesday, February 20, 2018 - by

Tuomas Sandholm, a computer scientist whose innovative algorithms have paired donors of life-saving kidneys with recipients and also defeated top professionals in a poker contest, will be the first recipient of Carnegie Mellon University's Angel Jordan Professorship in Computer Science.

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Graphs are everywhere from online social networks to bipartite review graphs. Many of them are large and dynamic. Moreover, they are with extra information and thus naturally modeled as tensors. Given large dynamic graphs and tensors, how can we analyze their structure? How can we detect interesting anomalies? Lastly, how can we model the behavior of the individuals in the data?

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