2024-02-27T14:06:42+00:00
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/ American media revealed on Tuesday that the US military used artificial intelligence to identify targets it attacked in the Middle East, most notably in Iraq and Syria this month.
Bloomberg News Agency quoted a US Department of Defense official as saying that machine learning algorithms helped the Pentagon narrow down the scope of targets for more than 85 US airstrikes on February 2, which were carried out against seven facilities in Iraq and Syria.
“We’ve been using computer vision to identify where there might be threats,” said Schuyler Moore, chief technology officer at US Central Command, which runs US military operations in the region. “We’ve certainly had more targeting opportunities in the last 60 to 90 days.”
He added that the United States is currently searching for a “huge number” of missile launchers held by enemy forces in the region.
The US agency notes that Moore’s new comments represent the Pentagon’s strongest confirmation of the use of artificial intelligence technology to identify targets.
It is noteworthy that America recently targeted sites in Syria that it said were linked to Iran, while the Pentagon indicated that the American strikes targeted facilities “used by the Iranian Revolutionary Guard and the groups it supports.”
The Pentagon also says the strikes were “in response to attacks by Iranian Revolutionary Guard Corps-Qods Force militants on US forces in Iraq and Syria.”
Pentagon Deputy Press Secretary Sabrina Singh said earlier that US bases in Iraq had been subjected to 22 attacks, and in Syria to 18 attacks, with drones and missiles, since October 17, 2023.
The international coalition forces, most notably the American forces, are deployed in the areas of influence of the Kurdish forces and their allies in northeastern and eastern Syria. American forces are also present in the Al-Tanf base in the south, located near the Iraqi-Jordanian border.