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Engineers at the University of Cincinnati presented a project on Oct. 25 in Phoenix, Arizona, where they use sound to identify potential catastrophic drone failures. The system converts recordings of damaged propellers or seized motors into data for ground stations to alert operators before takeoff, aiming to prevent crashes for public safety drones.
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Summary by ByteBrief
US soldiers using AI tech during a July exercise say they encountered issues like drone overheating, highlighting challenges in the Army's modernization effort (Heather Somerville/Wall Street Journal)