Scientists have created an artificial intelligence (AI) program that can detect alien life in physical samples. The machine-learning algorithm can distinguish between biological and nonbiological samples with 90% accuracy. However, scientists aren’t sure exactly how it works.

The new machine-learning algorithm — trained using living cells, fossils, meteoritesand lab-made chemicals — can distinguish between samples of biological and nonbiological origin 90% of the time, according to the scientists who built it. Yet the algorithm’s inner workings remain a mystery

These results mean that we may be able to find a lifeform from another planet, another biosphere, even if it is very different from the life we know on Earth,” study co-lead author Robert Hazen, an astrobiologist at the Carnegie Institution for Science in Washington, D.C., said in a statement. “And, if we do find signs of life elsewhere, we can tell if life on Earth and other planets derived from a common or different origin.

Machine-learning algorithms are transforming the search for extraterrestrial intelligence, finding candidate signals faster and better than ever before, but the development of artificial general intelligence could complicate contact

Turn a radio telescope to the stars in the sky, and it’s instantly deafened. From pulsars to radio galaxies, and ionospheric disturbances in the atmosphere to radio-frequency interference (RFI) from our own technology, the sky is a cacophony of radio noise. And somewhere, among all that, may lie a needle in a haystack: a signal from another world.

For over 60 years scientists have been scanning the skies in the search for extraterrestrial life but have yet to find any aliens. When you consider the sheer volume of search space — all those stars, all those radio frequencies — versus our limited searches so far, then it’s little wonder we’ve not found ET yet. It’s a daunting task, especially for a human.

The use of artificial intelligence (AI) is reaching critical mass, in our everyday lives and in science, so it is no surprise that it’s now being employed in Search for Extraterrestrial Intelligence (SETI). We’re not talking about Skynet, or the machines from The Matrix movies, or even Star Trek: The Next Generation’s Data. The AI that is so in vogue at present is based on machine-learning algorithms designed to do very specific jobs, even if it’s just to talk to you on ChatGPT

A time may come soon, however, when they are that smart. Researchers at places such as Google DeepMind have been pursuing artificial general intelligence, or AGI. Whereas the algorithms we have today are very specific, AGI would be able to cast its hand to anything and learn and grow while it does. An AGI could rapidly accelerate beyond the capacity of human intelligence

A new study involving University of Oxford researchers has found that artificial intelligence could accelerate the search for extraterrestrial life by showing the most promising places to look. The findings have been published in Nature Astronomy.

Our process combined statistical microbial ecology surveys, remote sensing from unmanned aerial vehicles, and machine learning to map, model, and predict the distribution of biosignatures in a Mars-relevant setting. The approach may also have applications for other astrobiology targets, such as the surface of Titan, the plumes of Enceladus, or the ice cover of Europa.

Dr Freddie Kalaitzis, Department of Computer Science, University of Oxford( source google)

In the search for life beyond Earth, researchers have few opportunities to collect samples from Mars or elsewhere. This makes it critical that these missions target locations that have the best chance of harbouring life. In this new study, researchers demonstrated that artificial intelligence (AI) and machine learning methods can support this by identifying hidden patterns within geological data that could indicate the presence of life

Artificial Intelligence is a method of making a computer, a computer-controlled robot, or a software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

Machine-learning algorithms are transforming the search for extraterrestrial intelligence, finding candidate signals faster and better than ever before, but the development of artificial general intelligence could complicate contact.

Research reveals how Artificial Intelligence can help look for alien lifeforms on Mars and other planets

Aliens have long been a fascinating subject for humans. Innumerable movies, TV series and books are proof of this allure. Our search for extra-terrestrial has even taken us to other planets, albeit remotely. This search has progressed leaps and bounds in the last few years, but it is still in its natal stages. Global space agencies like the National Aeronautics and Space Administration (NASA) and China National Space Administration (CNSA) have in recent years sent rovers to Mars to aid this search remotely. However, the accuracy of these random searches remains low.

To remedy this, the Search for Extraterrestrial Intelligence (SETI) Institute has been exploring the use of artificial intelligence (AI) for finding extraterrestrial life on Mars and other icy worlds.

According to a report on Space, a recent study from SETI states that AI could be used to detect microbial life in the depths of the icy oceans on other planets.

In a paper published in Nature Astronomy, the team details how they trained a machine-learning model to scan data for signs of microbial life or other unusual features that could be indicative of alien life.( source google)

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