Peter Ma was bored in high school computer science class. So he decided to learn something new: how to use artificial intelligence to search for alien life.
That’s how he ended up lead author of a groundbreaking study published in Nature Astronomy.
The study shows how Ma and his co-authors used AI to analyze a huge data set of radio signals collected by the SETI Breakthrough Listen project.
They found eight signals that could simply be technosignatures or signs of alien technology.
In this episode of the NVIDIA AI Podcast, host Noah Kravitz interviews Ma, who is currently a student at the University of Toronto.
Ma tells Kravitz how he came across this problem and how he developed an AI algorithm that outperformed traditional methods in the search for extraterrestrial intelligence.
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