How can radio astronomers successfully identify extraterrestrial radio signals while discerning them from Earth-based radio signals? This is what a recent study published in The Astronomical Journal hopes to address as a team of researchers investigated how machine learning could be used to search for extraterrestrial technosignatures while simultaneously identifying radio contamination from human radio signals.