Rohan Arni, 17, used deep learning to study mysterious space signals with 98% accuracy; now he is a US Regeneron STS finalist

At 17, Rohan Arni is exploring one of astronomy's most intriguing mysteries: fast radio bursts, or FRBs, incredibly powerful flashes of radio waves that can travel across the universe and last for only milliseconds. A student at High Technology High School in Lincroft, New Jersey, Rohan developed a machine-learning model that classified repeating and non-repeating FRBs with 98% accuracy.

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