AI in SETI
Gerry discusses the exciting potential of semi-supervised learning techniques in the search for extraterrestrial intelligence. With vast amounts of unlabeled radio study data, he emphasizes the importance of representation learning to simplify complex datasets while retaining essential characteristics. This innovative approach allows for more effective analysis and comparison of data, paving the way for breakthroughs in understanding the universe.In this clip
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The AI Podcast
How the Breakthrough Listen Harnessed AI in the Search for Aliens - Ep. 81
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