According to the report, Kristen Carnes, a researcher at the US Air Force Research Laboratory, said that one of the key projects being developed by the Air Force Research Laboratory is the artificial intelligence decision-making system, which can integrate all aspects of intelligence, surveillance and reconnaissance information. Then quickly sort the relevant data. Nowadays, it is usually the intelligence personnel who look at the full-motion images for hours, and painstakingly pick out fragments that may have important value, and then report the dangerous information to the command center. Carnes emphasized that an autonomous technology system can quickly sort out massive amounts of data, freeing intelligence personnel from other missions. "This greatly reduces the workload." She emphasized that the purpose of this artificial intelligence technology is not to humans. Drive out of the decision-making circle, but provide a smart teammate to help decision-makers complete their mission more effectively. With the advantages of a computer network, it can provide decision makers with an environment for analyzing problems, building models, simulating decision-making processes and solutions, and flexibly calling various information resources and analysis tools to help decision makers improve decision-making quality and quality.
At the same time, the US Air Force is still studying how artificially controlled unmanned vehicles and drones can interact with manned fighters. The US Air Force Research Laboratory has developed a method of combining manned and unmanned aircraft. According to the report, the US Air Force plans to hold a drill in 2022 to allow autonomous unmanned aircraft to fly in coordination with manned aircraft. It will show how to navigate by itself, adapt to unexpected weather and plan flight paths according to demand without operator instructions. .
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