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ORLANDO, Fla. — The U.S. Adobe reader 7.0 free download. Air Force wants to tap into the augmented and virtual reality technologies that are proliferating in the commercial market, but the service has run into a problem: Many have parts from China, limiting their ability to be used by the U.S. military in operational environments.

“Can we not have an AR [augmented reality] solution that’s made in China? I don’t think that’s good for us,” Col. Gerard Ryan, chief of the Air Force’s operational training infrastructure division, said during a panel discussion Tuesday at the Interservice/Industry, Training, Simulation and Education Conference.

“I don’t think the security policy is going to pass. And I say that sarcastically, but it’s true. If we’re going to use a gaming engine, let’s make sure it’s not made by a foreign country that we don’t like,” he added.

The Air Force is dipping its toes into using virtual reality through its Pilot Training Next program, which seeks to get airmen through basic pilot training more quickly and cheaply. While the PTN program is currently considered an experiment, with only a handful of airmen participating at any given time, the Air Force has already shown it may be able to shave months off the existing training timeline by supplementing live flights spent in the T-6 trainer with virtual ones using Vive virtual reality headsets and flight simulation software.

An unclassified environment like basic pilot training is a perfect place for the Air Force to use the augmented and virtual reality devices currently on the market. But for such products to ever see use by fighter and bomber pilots — or any operator that deals with secure information — the service must be sure that no part of the device is made by China, or any other foreign entity that could insert technology that allows for data collection.

The Air Force has begun talking to companies about its concerns, Ryan said. The hope is those firms can examine their supply chains and shift away from buying Chinese components.

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“I’ve talked to some people in industry. A smaller company has said they’ve found a set of goggles that’s American-made. I’m like: ‘Great, you’re the first person to tell me that. The only one so far, too,’ ” Ryan said.

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Another challenge is connecting commercial devices in a classified environment, where Bluetooth and Wi-Fi use may be restricted.

WASHINGTON — An artificial intelligence algorithm has defeated a human F-16 fighter pilot in a virtual dogfight simulation.

The Aug. 20 event was the finale of the Pentagon research agency’s AI air combat competition. The algorithm, developed by Heron Systems, easily defeated the fighter pilot in all five rounds that capped off a yearlong competition hosted by the Defense Advanced Research Projects Agency.

The competition, called the AlphaDogfight Trials, was part of DARPA’s Air Combat Evolution program, which is exploring automation in air-to-air combat and looking to improve human trust in AI systems.

“It’s easy to go down the wrong path of thinking that that is either A) definitive in some way as to what the future of [basic fighter maneuvers will be]; or B) that it is a bad outcome,” said Justin Mock of DARPA, a fighter pilot and commentator for the trials. “From a human perspective, from the fighter pilot world, we talked about we trust what works. And what we saw was that in this limited area, in this specific scenario, we’ve got AI that works.”

The human pilot, only known to the audience by his call sign “Banger” for operational security reasons, is a graduate of the Air Force’s weapons instructor course, a highly selective training course reserved for top fighter pilots. While the victory for the AI system is a big step forward for the young DARPA program, the work is far from over.

The conditions in the simulation weren’t realistic for aerial combat. To start, the artificial intelligence system had perfect information, which experts commentating on the event noted never happens in the field. The human pilot was also flying a fake stick in a virtual seat.

“There are a lot caveats and disclaimers to add in here,” Col. Dan Javorsek, program manager in DARPA’s Strategic Technology Office, said in a post-event livestream.

Heron’s AI system gained notoriety throughout the competition for its aggressiveness and the accuracy of its shot. Mock noted before the human-AI matchup that the AI system will “take shots that we would never take in our training environments.” Mock also said Heron often made an error in basic fighter maneuvers by turning away from enemy aircraft to where the AI thought the other aircraft would go, but was able to recover throughout the fights because of Heron’s “superior aiming ability” and the competitor aircraft taking the bait.

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Heron was one of eight AI teams selected by DARPA to take part in the final round of the agency’s competition. Heron topped the likes of Lockheed Martin, Perspecta Labs, Aurora Flight Sciences, EpiSys Science, Georgia Tech Research Institute, PhysicsAI and SoarTech.

DARPA’s leadership on the project acknowledged that the results of the simulated dogfight are just the first step in a long journey to fielding AI that can fight in air combat.

“Artificial intelligence shows a lot of promise. It’s kind of been bang or bust in the past,” Javorsek said. “In the larger ACE program, our plan is to take the modeling and simulation work that we’re doing here and translate it from that digital environment into the real world. And it turns out that’s a pretty important jump to make.”