Can Artificial Intelligence Detect the Existence of Aliens?

Can Artificial Intelligence Detect the Existence of Aliens?

The existence of aliens has always intrigued us, and now artificial intelligence help detect them

We have long been interested in the possibility of alien life, and for many years, humans have conducted extensive research on the subject. Artificial intelligence (AI) is being employed in this endeavor to determine whether aliens exist. The SETI investigation, where AI is attempting to find electromagnetic-radiation signals emanating from a technologically sophisticated civilization in a distant solar system, is known as the hunt for extraterrestrial intelligence (SETI). To listen for these signals, telescopes have reportedly been installed anywhere from the highlands of West Virginia to the plains of rural Australia.

SETI research is entering a new phase as a result of machine learning technology "According to the scientific publication Nature, Franck Marchis is a planetary astronomer at the SETI Institute in Mountain View, California.

The fact that large data is still a relatively new concept for SETI is the research's biggest issue now. As a result, these searches create a deluge of information, including false positives brought on by interference from GPS, cell phones, and other contemporary conveniences.

"At this time, gathering the data is not the largest problem we have in our search for SETI signals, "claims SETI Institute astronomer Sofia Sheikh. The tricky thing is telling human or Earth technology signals apart from the kinds of signals we'd be searching for from technology in other parts of the Galaxy."

A different approach would be to employ algorithms that search for signals that resemble what scientists imagine extraterrestrial beacons to look like. And machine learning is the method for doing this.

Machine-learning algorithms are highly effective at removing noise because they are trained on vast volumes of data and can learn to spot patterns that are typical of Earthly interference. "Machine learning is also effective at detecting potential alien signals that don't fit into traditional categories and may have been overlooked by prior approaches, "SETI researcher Dan Werthimer from the University of California, Berkeley told Nature.

We can't always be on the lookout for messages from ET, "The primary author of the current work, Peter Ma, a mathematician, and physicist from the University of Toronto in Canada concurs with Werthimer.

Related Stories

No stories found.
logo
Analytics Insight
www.analyticsinsight.net