DARPA wants to use AI to squeeze more bandwidth out of the airwaves

One interesting/terrifying aspect of today's modern society is that we have filled the airwaves with a multitude of radio signals. Ever since the pioneering days of Marconi, Braun, and others we have been using more and more of the electromagnetic spectrum to send audio, visual, and data signals. Everything from FM radio to 4G LTE, from digital satellite TV to military communication is all sent via one form of radio or another. The result is that the radio spectrum is full, it is bursting at the seams. In light of this, DARPA (the Defense Advanced Research Projects Agency) has launched its latest Grand Challenge, this time to bring advanced machine-learning capabilities to the way the radio frequencies are used. DARPA has named the new competition the Spectrum Collaboration Challenge (SC2).