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    Spectrum Collaboration Challenge
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    Vanderbilt team wins $750K with AI to manage RF spectrum

    Vanderbilt team MarmotE cleared Phase 2 of the U.S. Defense Advanced Research Projects Agency’s Spectrum Collaboration Challenge held in December at the Johns Hopkins University Applied Physics Lab.


    • Read more about Vanderbilt team wins $750K with AI to manage RF spectrum
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    AI DARPA Institute for Software Integrated Systems machine learning MarmotE Miklos Maroti Peter Horvath Peter Volgyesi radio frequency spectrum Sandor Szilvasi SC2 Spectrum Collaboration Challenge Electrical Engineering and Computer Science Research

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

    In two years, the world may see a revolutionary solution to the century-old approach of allocating bands for specific use on the radio frequency spectrum. Vanderbilt may help solve the problem.


    • Read more about Vanderbilt wins top prize in first round of DARPA Spectrum Collaboration Challenge
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    Peter Volgyesi Miklos Maroti MarmotE U.S. Defense Advanced Research Projects Agency Spectrum Collaboration Challenge SC2 Institute for Software Integrated Systems Vanderbilt University
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