DARPA’s AI radio challenge seeks to expand data transfer across the electromagnetic spectrum

DARPA’s new AI radio Grant Challenge seeks to develop wireless communication that makes better use of the congested electromagnetic spectrum. The result could mean no more buffering, even if you are watching the new Star Trek film on your very old smartphone. (via DARPA)

DARPA just released the details of its 2017 Grand Challenge, which will facilitate the development of a machine-learning radio system that finds a creative way to work around congested wireless airways. On its website, DARPA said the electromagnetic spectrum is overloaded, and will only continue to be so with the advent of the Internet of Things and other connected devices. As such, the anticipated technology to be created during the challenge may allow soldiers to maintain communication on the field, even if traditional internet is an impossibility.

The upcoming Grand Challenge is a three-year contest that will begin in 2017. Projects will be assessed along the way, and by 2019, only the best of the best will compete for a $2 million prize in a championship event in 2019. The last team standing will take home the grand prize, and could also land an ongoing contract with DARPA to further refine the communication infrastructure. Second and third place winners will earn $1 million and $750,000 prizes, respectively.

The new challenge comes at the perfect time, when smart refrigerators and Pokémon Go progressively choke up the digital airways. The military has long relied on radio frequency as a reliable form communication in the field, but the new project could make data transfer via radio signal even better. In theory, the new technology could give soldiers the same kind of applications available via traditional internet, in the thick of the jungle. Imagine being able to access datasets securely or gain access to remote navigation without an internet connection. The possibilities are endless. 

The anticipated technology could also revolutionize the communication network for our many connected devices. Drones, cars, and many other devices would have a constant, reliable method of communication for data transfer. This could significantly improve monitoring technologies, such as drone surveillance at gas and oil refineries, and many other technologies, without necessarily having to continually worry about robust telecommunication expansion.

If we see radio-based devices surface for civilian use, it probably won’t be until 2020 or later. Still, this is a sign of things to come. Kudos to DARPA for being ahead of the trend.

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