Peter Ma was bored in his highschool laptop science class. So he determined to show himself one thing new: easy methods to use synthetic intelligence to seek out alien life.
That’s how he finally grew to become the lead writer of a groundbreaking examine revealed in Nature Astronomy.
The examine reveals how Ma and his co-authors used AI to research a large dataset of radio indicators collected by the SETI Breakthrough Pay attention venture.
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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