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Search for Extraterrestrial Intelligence, or SETI, is the newest research organization to deploy the AI to facilitate the management of datasets. AI algorithms were able to uncover seventy-two new "fast radio bursts" from a mysteriously noisy galaxy to 3 billion away. These radio bursts were discovered in previously analyzed data using a custom machine learning model.
The researchers note that there is no Morse code or encrypted instructions to make contact, but these fast bursts of radio or FRB are poorly understood. At the very least, these FRBs could represent an unobserved cosmic phenomenon. FRB 121102 is the only stellar object known to regularly emit signals and is the target of continuous observation.
The data comes from the Green Bank telescope in West Virginia, which reported this source of fast and bright bursts for five hours in August 2017. TechCrunch reports that the five-hour session generated 400 terabytes of transmitted data. The report adds that the first "standard" algorithms identified 21 FRBs that occurred during an hour of observation.
The convolutional neural network system created by Gerry Zhang, a graduate student at the University of California at Berkeley and part of the Breakthrough Listen project, was able to select an additional 72 FRBs during the same period. For a neural network to succeed, initial data is needed and, with the data acquired by these tests, the system has a tool capable of collecting data.
The article detailing the findings will be co-written by Vishal Gajjar, a postdoctoral researcher at the University of California at Berkeley and will be published in the Astrophysical Journal. The new data also reveals that signals are not received in any type of pattern that can be determined. While this may seem daunting, it will help researchers to better understand these fast sounds.
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SETI and Breakthrough plan to keep their antennas tuned to FRB 121102 and will collect data that will contribute to future scientific research. We will know more about the work once the article will be published in the Astrophysical Journal.
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