Mariella Moon has been a night editor for Engadget since 2013, covering everything from consumer technology and video games to strange little robots that could operate on the human body from the inside one day. She has a special affinity for space, its technologies and its mysteries, though, and has interviewed astronauts for Engadget.
The US military has ramped up its use of artificial intelligence tools after the October 7 Hamas attacks on Israel, based on a new report by. Schuyler Moore, US Central Command's chief technology officer, told the news organization that machine learning algorithms helped the Pentagon identify targets for more than 85 air strikes in the Middle East this month.
US bombers and fighter aircraft carried out those air strikes against seven facilities in Iraq and Syria on February 2, fully destroying or at least damaging rockets, missiles, drone storage facilities and militia operations centers. The Pentagon had also used AI systems to find rocket launchers in Yemen and surface combatants in the Red Sea, which it had then destroyed through multiple air strikes in the same month.
The machine learning algorithms used to narrow down targets were developed under Project Maven, Google's now-defunct partnership the Pentagon. To be precise, the project entailed the use of Google's artificial intelligence technology by the US military to analyze drone footage and flag images for further human review. It caused an uproar among Google employees: Thousands hadthe company to end its partnership with Pentagon, and some even quit over its involvement altogether.
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