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Amid China activities in Pacific, US military should turn to machine learning: American admiral
- Joint Forces commander tells Silicon Valley execs last three years marked by ‘erosion of strategic, operational and tactical’ warnings as PLA evolves
- Large-scale data analytics could enhance US military’s ability to forecast ‘what our competitors are doing’ and ‘be prepared for aggression’
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Hayley Wongin Beijing
US Joint Forces should employ machine learning to better anticipate threats in the Pacific amid China’s activities in the Taiwan Strait and South China Sea, according to a senior American commander in the region.
Addressing Silicon Valley executives on Tuesday at an event hosted by the Defence Innovation Unit, a Pentagon group created to hasten the use of cutting-edge technologies, Admiral Samuel Paparo described difficulties the US had in picking up on military warnings.
Paparo said the past three years had been marked by an “erosion of strategic, operational and tactical” warnings, noting China’s military had experienced significant changes in its force levels and preparations.
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The People’s Liberation Army was “raising the threshold of warning” to a point that soon the US would see “a force sufficient to execute a profound military operation” in the field “operating under a fig leaf of exercise”, the US Navy admiral added.
Other regional challenges included North Korea’s military provocation, Russia’s maritime ambitions in the Pacific, and the two countries’ weapons trade, he said.
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