Researchers have developed a method that allows <a href="https://www.mid-day.com/news/world-news/article/russia-attacks-kyiv-with-missiles-and-drones-23637979" target="_blank" rel="nofollow noopener">drones to recognise when they are approaching failure</a>, giving them the ability to adapt before losing control.&nbsp;
The approach borrows a concept from nature known as &ldquo;critical slowing down,&rdquo; a phenomenon that signals when ecosystems are nearing a tipping point.&nbsp;
The researchers found that using sensors and <a href="https://www.mid-day.com/lifestyle/culture/article/artificial-intelligence-ai-skills-tips-are-a-must-for-indian-youth-to-increase-career-prospects-of-better-job-opportunities-all-you-need-to-know-23344564" target="_blank" rel="nofollow noopener">Artificial Intelligence</a>, same principles can be used to identify early signs of instability in actively controlled systems such as drones, aircraft, and autonomous vehicles.
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Researchers developed an AI system that helps drones detect early signs of failure and adapt before losing control

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Researchers have developed an AI-based system that enables drones to detect early signs of failure and adapt before losing control

AI-powered system helps drones detect failures before losing control

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