SETI neural networks spot dozens of new mysterious signals emanating from distant galaxy reports the use of machine learning to identify 72 new fast radio bursts (FRBs) in a set of data in which 21 FRBs had already been identified using other methods. What really caught my eye in the article, however, was this:
Believe it or not, that five-hour session yielded 400 terabytes of transmission data.
Wow! I wasn’t sure whether to believe that or not. The article also says “…from a mysteriously noisy galaxy 3 billion miles away were discovered…”, which clearly can’t be true since Uranus averages close to 3 billion miles from the sun. However, a Berkeley article on this (AI helps track down mysterious cosmic radio bursts) also talks about the 400TB data set. Of course, I don’t know if that’s a typical data volume.
I was hoping to find more information on volumes of data collected by radio telescopes. The first thing that I discovered was from SKA telescope to generate more data than entire Internet in 2020. From that article:
The project is expected to deliver up to an exabyte a day of raw data, compressed to some 10 petabytes of data in images for storage.
