The US uses artificial intelligence to “target” airstrikes

If you’ve been wondering when the military will start deploying artificial intelligence on the battlefield, here’s the answer.

Bloomberg writes that the US already uses computer vision algorithms to identify precise targets for dropping bombs. Recently, the technology was used in more than 85 air strikes in the Middle East mission.

The blasts, heard in parts of Iraq and Syria on February 2, “destroyed or damaged missiles, drone storage and operations centers, among other targets,” and were part of the Biden administration’s planned response to a January drone attack in Jordan that killed three. . The government blamed Iran-backed militants for the attack.

“We used computer vision to determine where the threats might be,” said Schuyler Moore, chief technical officer at US Central Command.

The computer vision algorithms used in the aforementioned airstrikes were developed as part of Project Maven, a program launched back in 2017 to encourage automation at the Department of Defense.

The use of AI for targeting seems to have already become a trend — but a somewhat worrisome one. Late last year, it was reported that Israel was using such technology to identify targets for dropping bombs in Gaza. According to the country’s officials, the Israeli program can identify up to 200 targets in just 10-12 days.

“On October 7, everything changed. We immediately moved into a much faster operational tempo than before,” Moore said, adding that the US military had a “pretty smooth transition” to using Maven after a year of digital training.

At the same time, Moore noted that every step suggested by artificial intelligence is still being tested by humans.

Ukrainian drones will receive artificial intelligence from the German company Helsing

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