this post was submitted on 19 Apr 2024
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This is the best summary I could come up with:
In a drill over Edwards Air Force Base, the pair of F-16 fighter jets flew at speeds of up to 1,200mph and got as close as 600 metres during aerial combat, also known as dogfighting.
While in flight, the AI algorithm relies on analysing historical data to make decisions for present and future situations, according to the Defence Advanced Research Projects Agency (DARPA), which carried out the test.
This process is called "machine learning", and has for years been tested in simulators on the ground, said DARPA, a research and development agency of the US Department of Defense.
In 2020, so-called "AI agents" defeated human pilots in simulations in all five of their match-ups - but the technology needed to be run for real in the air.
Pilots were on board the X-62A in case of emergency, but they didn't need to revert controls at any point during the test dogfight, which took place in September last year and was announced this week.
"The potential for autonomous air-to-air combat has been imaginable for decades, but the reality has remained a distant dream up until now, said Secretary of the Air Force Frank Kendall.
The original article contains 455 words, the summary contains 193 words. Saved 58%. I'm a bot and I'm open source!