Seventy-two new mysterious space signals emanating from noisy galaxy discovered by AI – But still NO EXPLANATIONS

The perennial optimists at the Search for Extraterrestrial Intelligence, or SETI, have joined the rest of the world in deploying AI to help manage huge data sets — and their efforts almost instantly bore fruit. Seventy-two new “fast radio bursts” from a mysteriously noisy galaxy 3 billion miles away were discovered in previously analyzed data by using a custom machine learning model.

USA, West Virginia, Green Bank, National Radio Astronomy Observatory, Robert C. Byrd Green Bank Telescope (GBT), the world’s largest fully steerable radio telescope. Picture by Walter Bibikow / Getty Images / Getty Images

To be clear, this isn’t Morse code or encrypted instructions to build a teleporter, à la Contact, or at least not that we know of. But these fast radio bursts, or FRBs, are poorly understood and may very well represent, at the very least, some hitherto unobserved cosmic phenomenon. FRB 121102 is the only stellar object known to give off the signals regularly, and so is the target of continued observation.

The data comes from the Green Bank Telescope in West Virginia (above), which was pointed toward this source of fast and bright (hence the name) bursts for five hours in August of 2017. Believe it or not, that five-hour session yielded 400 terabytes of transmission data.

Initial “standard” algorithms identified 21 FRBs, all happening in one hour’s worth of the observations. But Gerry Zhang, a graduate student at UC Berkeley and part of the Breakthrough Listen project, created a convolutional neural network system that would theoretically scour the data set more effectively. Sure enough, the machine learning model picked out 72 more FRBs in the same period.

72 mysterious space signals discovered, new space signals discovered by AI, ARTIFICIAL INTELLIGENCE HELPS BREAKTHROUGH LISTEN FIND NEW FAST RADIO BURSTS
A Berkeley GIF visualizing the data of a series of mysterious bursts

The new data suggests that the signals are not being received in any kind of pattern we can determine, at least no pattern longer than 10 milliseconds. That may sound discouraging, but it’s just as important to rule things out as it is to find something new.

Gerry’s work is exciting not just because it helps us understand the dynamic behavior of FRBs in more detail, but also because of the promise it shows for using machine learning to detect signals missed by classical algorithms,” explained Berkeley’s Andrew Siemion, who leads the SETI research center there and is principal investigator for Breakthrough Listen.

And if we’re being imaginative, there’s no reason some hyper-advanced civilization couldn’t cram a bunch of interesting info into such short bursts, or use a pattern we haven’t yet grokked. We don’t know what we don’t know, after all.

Whatever the case, SETI and Breakthrough will continue to keep their antennas fastened on FRB 121102. Even if they don’t turn out to be alien SOS signals, it’s good solid science.

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TechCrunch – SETI neural networks spot dozens of new mysterious signals emanating from distant galaxy

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