Rohan Arni, 17, used AI to analyse mysterious radio flashes from space; his model classified repeating and non-repeating bursts with 98% accuracy

A 17-year-old student developed an AI model to study mysterious space radio waves. His machine learning model distinguishes repeating bursts from single occurrences with high accuracy. The analysis revealed repeating bursts are closer and have narrower frequency ranges. This research identified four potential new repeating radio burst candidates. The AI tool offers astronomers a new method for analyzing cosmic signals.
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