AI News, Artificial intelligence helps predict likelihood of life on other worlds

Artificial intelligence helps predict likelihood of life on other worlds

Artificial neural networks are systems that attempt to replicate the way the human brain learns.

As life is currently known only to exist on Earth, the classification uses a 'probability of life' metric which is based on the relatively well-understood atmospheric and orbital properties of the five target types.

'Given the results so far, this method may prove to be extremely useful for categorising different types of exoplanets using results from ground-based and near Earth observatories' says Dr Angelo Cangelosi, the supervisor of the project.

The technique may also be ideally suited to selecting targets for future observations, given the increase in spectral detail expected from upcoming space missions such ESA's Ariel Space Mission and NASA's James Webb Space Telescope.

The Nearest Stars to Earth (Infographic)

The nearest stars to Earth are in the Alpha Centauri triple-star system, about 4.37 light-years away.

Barnard’s Star, a red dwarf 5.96 light-years away, has the largest proper motion of any known star.

This means that Barnard’s Star moves rapidly against the background of more distant stars, at a rate of 10.3 seconds of arc per Earth year.

In late 2012, astronomers discovered that Tau Ceti may host five planets including one within the star’s habitable zone.

New AI Program Classifies Planets and Predicts Probability of Life

Researchers have developed a new technique that uses artificial intelligence to classify planets and, in turn, determine whether life may exist on other worlds.

The new technique uses so-called artificial neural networks, known as ANNs, to classify planets, based on whether they resemble present-day Earth, early Earth, Mars, Venus or Saturn's largest moon, Titan.

These five bodies are among the most potentially habitable objects in our solar system and are therefore associated with a certain probability of life, according to a statement from the European Week of Astronomy and Space Science conference.

While Earth is still the only world known to support life, the new data could help astronomers plan future interstellar exploration missions to planets that are more likely than others to host alien life, the researchers said in the statement.

They have proven to be particularly useful for sorting through and identifying patterns in vast amounts of data that would otherwise be too complex and time-consuming for scientists to process, researchers said in the statement.

Artificial Intelligence Learns To Predict The Likelihood Of Life On Other Planets

Artificial intelligence (AI) is learning to recognize patterns of life-supporting conditions on other worlds.

“The main thrust of my research focuses on how such an interstellar vehicle (ISV) would identify potential life-bearing planets and classify them,” says lead researcher Christopher Bishop via email.

“To do this it has to be ‘trained’ to recognise them using an artificial neural network.” The team trained artificial neural networks (ANNs) to classify five planet types in terms of their life-supporting feature:

Each profile had hundreds of parameters associated with habitability.The ANN then classified each planet according to planetary type.Since we currently only have examples of life on earth, a probability-of-life metric was developed based on factors like atmosphere and orbit of the five rocky worlds.

Earthdata

Passive sensors, on the other hand, detect natural energy (radiation) that is emitted or reflected by the object or scene being observed.

The majority of active sensors operate in the microwave portion of the electromagnetic spectrum, which makes them able to penetrate the atmosphere under most conditions.

Most passive systems used in remote sensing applications operate in the visible, infrared, thermal infrared, and microwave portions of the electromagnetic spectrum.

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New AI Program Classifies Planets and Predicts Probability of Life

Researchers have developed a new technique that uses artificial intelligence to classify planets and, in turn, determine whether life may exist on other worlds.

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