Artificial intelligence (AI) to help with tactical networking to improve military command and control

July 24, 2020
One example is compiling data from a Global Hawk drone and a naval destroyer to help cue a jet fighter to lock its missile on a nearby target.

WASHINGTON – The U.S. Air Force is ramping-up its efforts to test and field a suite of new hardware and software that will become the military’s command and control backbone. C4ISRnet reports. Continue reading original article

The Military & Aerospace Electronics take:

24 July 2020 -- Since February, the Air Force has released three separate solicitations for technologies that could be funneled inside the Advanced Battle Management System (ABMS) -- the service’s effort for networking military data to form a complete picture of the battlespace.

Air Force officials awarded the first ABMS contracts in May and July, with 46 companies winning $1000 and a chance to compete for more money down the road. ABMS is the Air Force’s piece of the military’s fledgling Joint All Domain Command and Control concept.

The vision involves networking every shooter and sensor to a cloud computing environment and using artificial intelligence (AI) to ensure that relevant information moves immediately to the platform that needs it. In practice, that could look like compiling data from a Global Hawk drone and a naval destroyer to help cue a fighter jet to lock its missile on a nearby target.

Related: Wanted: cyber-hardened high-performance embedded computing, artificial intelligence (AI), machine learning

Related: Researchers eye embedding artificial intelligence (AI) into war games simulation to beef-up challenges

Related: Air Force researchers ask industry for SWaP-constrained embedded computing for artificial intelligence (AI)

John Keller, chief editor
Military & Aerospace Electronics

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