Brooke Kuei Contributing Editor

Class of 2015

Articles

  • Smartphones collect data to predict onset of depression

    How smart have our smartphones become? So smart that they might know us better than we know ourselves, according to associate professor of the School of Computer Science and the Human-Computer Interaction Institute (HCII) Jason Hong and associate professor of HCII and the School of Design John Zimmerman. By taking advantage of how much information our smartphones are able to obtain, Hong and Zimme...

    SciTech | March 31, 2014
  • Detection of B-mode polarization confirms inflation theory

    Last November, astrophysicist Alan H. Guth — Victor F. Weisskopf professor of physics and a Margaret MacVicar fellow at the Massachusetts Institute of Technology — discussed the theory of inflation in his lecture “Inflationary Cosmology: Is Our Universe Part of a Multiverse” at Carnegie Mellon. The presence of such a world-renowned physicist on campus caused quite a flurry of excitement, but now G...

    SciTech | March 24, 2014
  • Virtual concert brings us all together

    As Henry Wadsworth Longfellow once said, “Music is the universal language of mankind.” This Saturday, Mar. 1, 64 musicians from across the globe were united through a virtual concert that was broadcast in Rashid Auditorium in the Gates Center.

    SciTech | March 3, 2014
  • TechBridgeWorld hosts biennial event

    While many of us curse in frustration when our sleek, advanced laptops occasionally crash or when our touchscreen smartphones sometimes lose signal, there are people in developing countries and individuals with disabilities that do not even have the luxury of the technology we take for granted. While there are many organizations with goals to provide aid and relief to communities in need, Carnegie...

    SciTech | February 24, 2014
  • Guest speaker discusses theory of neural dimensionality

    The human brain contains approximately 100 billion neurons. With this number in mind — pun intended — you can imagine how difficult it is to collect and understand datasets in the world of neuroscience. How, then, can neuroscientists analyze these huge datasets in an efficient yet biologically meaningful manner?

    SciTech | February 10, 2014

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