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Peter Ma was bored in his highschool laptop science class. So he determined to show himself one thing new: the way to use synthetic intelligence to search out alien life.
That’s how he ultimately turned the lead author of a groundbreaking study published in Nature Astronomy.
The examine reveals how Ma and his co-authors used AI to investigate an enormous dataset of radio alerts collected by the SETI Breakthrough Hear venture.
They found eight signals that might just be technosignatures or signs of alien technology.
On this episode of the NVIDIA AI Podcast, host Noah Kravitz interviews Ma, who’s now an undergraduate scholar on the College of Toronto.
Ma tells Kravitz how he stumbled upon this drawback and the way he developed an AI algorithm that outperformed conventional strategies within the seek for extraterrestrial intelligence.
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