Potential Of AI In Missile Defense Testing, Operations
by C. Todd Lopez, DOD News
August 26, 2021
Navy Vice Adm. Jon A. Hill, Director of the
Missile Defense Agency, stated during a
presentation at the Space & Missile Defense Symposium in Huntsville,
Alabama ... that mountains of data are generated when the U.S.
military conducts missile testing, and not all of that data is even
used, simply because there's more information to be processed than
there are people to process it.
"When you look at the amount of data we pull from a test, let's just
pick a (ground-based midcourse defense) test ... terabytes of data,"said Vice Adm. Hill . "Are we assessing all that data? The
answer is no."
A Terminal High Altitude Area Defense interceptor is
launched from Kwajalein Atoll in the Marshall Islands during
Flight Test THAAD-23 on August 30, 2019. (Missile Defense
Agency courtesy photo)
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Hill said that following such a test, even
one that has been by all measures successful, engineers might come
back later, after looking at portions of the data that resulted from
the experiment and find things that reveal important facts about
what happened ... things that wouldn’t otherwise be readily
apparent.
"It's not unusual for one of our great engineers to
come back later and say you know in this telemetry stream I found
something really interesting here. This valve did not do what we
thought it was going to do," Hill said.
That's just one
engineer looking at a portion of a stack of data that he couldn't
possibly get through on his own. Processing all that information is
a good task for artificial intelligence, Hill said.
"With machine learning
and artificial intelligence, you can go into that whole vast amount
of data and you can start to see interesting attributes rise and
we're seeing that now once we start to institute artificial
intelligence and machine learning," Hill said.
But in the
world of missile defense, there's much more than just the testing
and assessing of systems. There's also actual operations: the
detection of threats, command and control of systems and engagement
with a threat.
Those areas can also be enhanced by artificial
intelligence, Hill said, "and this is the challenge to industry."
A big priority for MDA, Hill said, is making life easier for the
operators of the complex systems used to protect the U.S. from
missile threats. AI can help make their job easier, he said ... and
put their attention on things that matter.
The U.S. Army test fires Patriot missiles at Redstone
Arsenal, Alabama on March 27, 2019. (U.S. Army photo by
Jason Cutshaw)
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"The more artificial intelligence capability/machine learning
that comes in to make the load easier ... to get rid of some of
these tedious tasks in the planning thing ... that takes advantage
of the brain of our sailors, our soldiers, our airmen, our guardians
... that allows them to think about fighting the battle, not
fighting the system," he said.
Right now, Hill said, MDA is
starting to look at places where AI can be used to detect, track and
discriminate targets, conduct command and control operations, and
engage targets.
"How does that translate into some of these
major functions of the system? That's what we're going after now.
You start to see areas where you can improve algorithms and how you
do that detect-control-engage sequence," he said. "I'm pretty
excited about this. But I want to get it into an area to where we
can start having more discussions about how we take what is in now
primarily in the science and technology world and port that right
into [the] No. 1 priority in my mind: making the operator's life
easier, so we can get weapons on target."
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