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Will AI Make First Contact with Extra-Terrestrial Intelligence?

Will a machine learning AI be the way we find out we are not alone in the Universe?


In a January 2023 published paper in Nature Astronomy, a collaboration by authors from universities in Toronto, Canada, Berkeley in California, Manchester in the United Kingdom, Malta, Queensland and Western Australia, and the SETI Institute, created a machine learning algorithm variational autoencoder, a type of neural network that learns through the unsupervised study of unlabelled data. They used it to try and find technosignatures contained within 150 Terabytes of radio traffic from 820 nearby stars. The data source came from the Green Bank Telescope in West Virginia, the world’s largest steerable radio telescope. This data had previously been searched in 2017 using traditional techniques.

Radio signals are abundant throughout the Universe and they represent the most effective way for us to find out if we are a solo act or one of many technical civilizations. Our contribution to radio traffic has been going on for more than a century which means an alien civilization within a hundred light-years from us with technology similar to ours can now detect us.

SETI (Search for Extraterrestrial Intelligence) has been using radio telescopes and receiving antennae since 1960 in a search to detect signals coming from space in patterns similar to what we produce. So far, however, it has proven to be harder than finding the proverbial needle in a haystack. That’s why the application of AI to the vast amounts of radio traffic coming from space is seen as a step up in our efforts to detect alien intelligence. It seems ironic that an AI may be the way we first discover alien intelligence originating from distant solar systems. And it may be that those alien species are using their own AIs to be doing the same.

Two Nearby Planets Are Perfect To Check For Alien Life

A pair of worlds that are just around the corner in cosmic terms look to be in the right spot to potentially host life as we know it.

A report in the February issue of the journal Astronomy and Astrophysics details the discovery of two exoplanets the orbit the red M-dwarf star GJ (or Gliese) 1002 in its habitable zone and are not far off from the mass of Earth.

These two characteristics top the list of things that make another planet worth getting excited about in terms of the odds it might have some sort of critters or even just primitive microorganisms hanging out.

MailOnline looks at where aliens could exist in our solar system

For thousands of years, humanity has wrestled with the idea we may not be alone in our solar system.

Speculation that aliens might exist dates back to philosophers in ancient Greece, but it was the middle of the 20th century when people’s imaginations really began to run riot — suddenly ‘little green men’ were everywhere in popular culture.

The reality is that if extraterrestrial life does exist in our solar system it will be of a more simpler variety, perhaps hidden in Venus’ clouds, beneath Mars’ surface or in the vast underground oceans of one of Saturn’s icy moons.

But where else is the best bet of finding it? MailOnline speaks to a number of experts to find out.


If extraterrestrial life does exist in our solar system, it could be hidden in Venus’ clouds, beneath Mars’ surface or in the vast underground oceans of one of Saturn’s icy moons. experts told MailOnline.

Could Intelligent Alien Life be AI?

Artificial Intelligence or AI more specifically strong AI or artificial superintelligence could possibly be the answer or the solution to the Fermi paradox. The Fermi paradox, named after Italian-American physicist Enrico Fermi, is the apparent contradiction between the lack of evidence for extraterrestrial civilizations and various high estimates for their probability of existence. The conundrum for the existence of aliens and more categorically intelligent aliens could be a much simpler solution that we’ve previously thought. To more broadly answer the question of intelligent aliens, we first have to think about whether it’s possible that we are a just a tiny spec in the vastness of space, the only place in the universe where intelligent life found its way to manifest Or maybe there is an abundance of intelligent life out there and we just haven’t found it yet. The search for extraterrestrial life is arguably one of the most all-encompassing scientific quest endeavours of our time. How would we know if we had found alien life? It would be interesting to find something that looks like intelligent alien life, but is not actually alive. It could be a space probe. Or a satellite. We often imagine extraterrestrial life as having a face, because we can’t figure out what it would look like. But if we were to find intelligent alien life, we might not immediately know what it is. Our guesses till recently were random mixtures of biological forms. An advanced civilization however could also be able to engineer machines or digital living forms with the exact same properties as biological forms. A growing number of scientists believe that the aliens we are looking for are in fact AI. It is quite possible that some civilizations could have transcended biology all together to become artificial superintelligence.

#Aliens #AI #ScienceTime.

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https://iopscience.iop.org/article/10.3847/1538-4357/ab8225

A Deep-learning Search For Technosignatures Of 820 Nearby Stars

The goal of the Search for Extraterrestrial Intelligence (SETI) is to quantify the prevalence of technological life beyond Earth via their “technosignatures”. One theorized technosignature is narrowband Doppler drifting radio signals.

The principal challenge in conducting SETI in the radio domain is developing a generalized technique to reject human radio frequency interference (RFI). Here, we present the most comprehensive deep-learning based technosignature search to date, returning 8 promising ETI signals of interest for re-observation as part of the Breakthrough Listen initiative.

The search comprises 820 unique targets observed with the Robert C. Byrd Green Bank Telescope, totaling over 480, hr of on-sky data. We implement a novel beta-Convolutional Variational Autoencoder to identify technosignature candidates in a semi-unsupervised manner while keeping the false positive rate manageably low. This new approach presents itself as a leading solution in accelerating SETI and other transient research into the age of data-driven astronomy.