Researchers have developed a system that enables drones to detect anomalies and predict mechanical failures in real time, according to a report. The system uses onboard sensors and machine learning algorithms to monitor variables such as motor current, vibration, and temperature, officials said. The development comes as unmanned aerial vehicles increasingly rely on artificial intelligence for autonomous operations. Previous reports have documented drones using machine learning for targeting in conflict zones, such as the Kargu-2 quadcopters in Libya, which were self-guided using onboard cameras and machine learning to find and target enemies, according to a United Nations report [1]. The…
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