Rohan Arni, 17, used deep learning to study mysterious space signals with 98% accuracy; now he is a US Regeneron STS finalist
Rohan Arni used deep learning to study mysterious space signals; his model achieved 98% accuracy. (Photo: Society For Science) 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 […]
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