Humans have been curious in the prospect of extraterrestrial life for a very long time, and over that time, we have done a lot of research. This effort to ascertain the existence of aliens makes use of artificial intelligence (AI). The SETI study is also known as the search for extraterrestrial intelligence (SETI), where AI is trying to discover electromagnetic radiation signals coming from a technologically advanced civilization in a faraway solar system (SETI). Telescopes have apparently been set up anywhere from the plains of rural Australia to the hills of West Virginia to listen for these signals.
Machine learning technologies has led SETI research into a new phase.
Franck Marchis is a planetary astronomer at the SETI Institute in Mountain View, California, according to the scientific journal Nature.
The largest problem now facing the research is the fact that massive data is still a relatively new notion for SETI. These searches consequently generate a flood of data, including false positives brought on by GPS, smart phones, and other modern conveniences.
According to SETI Institute astronomer Sofia Sheikh, “At this time, acquiring the data is not the biggest issue we face in our hunt for SETI signals. Differentiating human or Earth technology signals from the kinds of signals we would be looking for from technology in other regions of the Galaxy is a difficult task.
Utilizing algorithms that scan for signals that approximate the appearance of extraterrestrial beacons would be a different strategy. And the technique for doing this is machine learning.
Because they are taught on enormous amounts of data and can recognise patterns that are typical of interference from the Earth, machine-learning algorithms are very good at eliminating noise. Dan Werthimer, a researcher with the SETI programme at the University of California, Berkeley, said in a statement to Nature that “machine learning is also excellent at finding probable extraterrestrial signals that don’t fit into established categories and may have been neglected by past efforts.”
The major author of the present study, Canadian mathematician and physicist Peter Ma, agrees with Werthimer that we can’t constantly be on the lookout for ET messages.
