Peter Ma was bored in his highschool pc science class. So he determined to show himself one thing new: learn how to use synthetic intelligence to seek out alien life.
That’s how he finally grew to become the lead creator of a groundbreaking research printed in Nature Astronomy.
The research reveals how Ma and his co-authors used AI to research an enormous dataset of radio alerts collected by the SETI Breakthrough Pay attention mission.
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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