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Space Force considers AI “absolutely essential” for JADC2 – Breaking Defense Breaking Defense

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NORTHCOM’s Global Information Dominance Experiment 3 (GIDE 3) testing AI decision aids for commanders ran July 8-15

WASHINGTON: Without artificial intelligence and machine learning tools, the Pentagon’s ambitious Joint Command and Control Over All Areas (JADC2) initiative simply won’t be feasible, according to Space Force and industry officials.

Brig. Gen. John Olsen, mobilization assistant to Chief of Space Force Gen. Jay Raymond, told a panel at the American Institute of Aeronautics and Astronautics ASCEND space conference last week that the JADC2 concept involves multiple networks. across the world in order to continue modern warfare in all areas, and that human users are going to need automated help.

“When we look at these chains of destruction – or when we look at the time to feel, to make sense and to act – these” observe, guide, decide, act or the deadlines of the OODA loop become so compressed in the modern environment. “, did he declare. “So artificial intelligence and machine learning are absolutely essential catalysts for us to react and respond, and again, make sense of information and then act on it. “

Seth Harvey, CEO and co-founder of Colorado startup Bluestaq, told the panel that the Space Force Unified Data Library (UDL) “alone consumes hundreds of millions of records per day, and we don’t let’s just scratch the surface of the data available. ”Therefore, he said, AI / ML software is essential“ to help prune data ”for users.

UDL is one of Space Force’s main contributions to JADC2 as a repository of data from space sensors and increasingly sensors deployed in other areas as well. The Space Force granted Bluestaq a $ 280 million contract extension in March for the development and integration of data into the UDL. Bluestaq initially helped Air Force Space Command conceptualize the UDL in 2018; it won a follow-up award to start building the data library in 2019.

“When we look at JADC2, there will be a compendium of decisions that can be made,” Harvey added. “Some are benign, others are more critical in nature and put humans at risk.”

AI will be “really valuable” to take over such benign daily tasks such as the task of the sensors integrated into the JADC2 construction, he said. When human life is at stake, on the other hand, AI will become more of a tool to “prune information and make it available to the decision-maker”.

In fact, Northern Command used its experiments in global information domination in March to test three AI “decision aids” designed to accelerate commanders’ ability to act. AI algorithms will enable all-domain situational awareness, “information dominance” and “combatant command collaboration” in real time, Col. Matt “Nomad” Strohmeyer told Breaking Defense, at the time responsible for development NORAD / USNORTHCOM J8 JADC2. in an exclusive interview.

While AI / ML is key to Space Force’s ability to implement JADC2, Robbie Robinson, chief space experimenter at the Air Force Research Laboratory (AFRL), said the service had a little over ease that its sister services deploy such algorithms. This is because Kepler’s laws of planetary motion constrain what can and cannot be done in space, while in the other realms of air, land, and sea, all of the possible options for action is much broader.

“Kepler is our friend when it comes to AI,” he said. “It makes it a bit easier for us to train our sets and understand intentions and abilities. “

That could change a bit when the Space Force turns serious to cislunar operations, such as knowledge of the space domain beyond geosynchronous orbit, Robinson noted.

“I think it will be interesting to see what happens with these AI tools when we start to get data beyond the GEO belt, and how we’re going to have to recycle these tools and get them to work,” said he declared.


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