In this case, Peter Ma from the University of Toronto and his colleagues unleashed a set of algorithms on a mountain of data collected by the Green Bank Telescope in West Virginia, US. But the real story here is the effectiveness of AI and the techniques used by the team to dig out rare and interesting signals previously buried in the noise of human-generated radio frequency interference, such as mobile phones and GPS.Īstronomers working in the field of SETI (the search for extraterrestrial intelligence) must filter out interference produced by radio communications here on Earth. Realistically, it's most likely that these eight new signals were generated by human technology.
They're much more compelling than what is perhaps the most famous SETI candidate, the "Wow!" signal, radio emission bearing the hallmarks of an extraterrestrial origin that was collected by an Ohio telescope in 1977. In other words, they are the kinds of signals we might pick up from an extraterrestrial civilisation broadcasting into space.Ī cursory review of the new paper suggest these are indeed promising signals. The team hasn't yet carried out an exhaustive analysis, but the paper suggests the signals have many of the characteristics we would expect if they were artificially generated. The results of their research, published in Nature Astronomy are remarkable.
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