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Vanderbilt wins top prize in first round of DARPA Spectrum Collaboration Challenge

by Jan. 30, 2018, 3:25 PM

Globally, the wireless revolution is fueling a voracious demand for access to RF spectrum. Smartphones to wearable fitness devices to smart kitchen appliances are competing for bandwidth. In the military, there is a growing reliance on unmanned platforms, from underwater sensors to satellites. Managing demand of the RF spectrum is a serious problem.

DARPA wants to solve the problem in the most efficient way possible, using machine intelligence. SC2 is the first-of-its-kind collaborative machine-learning competition to overcome scarcity in the RF spectrum.
Vanderbilt’s team included Peter Volgyesi, a research scientist and Miklos Maroti, a research associate professor at Vanderbilt’s Institute for Software Integrated Systems.