A research by scientists at Plymouth University in the United Kingdom shows an extreme possibility of Alien Life finding through Artificial Intelligence. In this world of growing technology everything looks possible and why not this? The new findings will be presented at the European Week of Astronomy and Space Science in Liverpool on April 4. They are trying to find out through ANN Computers.
ANNs are computer systems which mimic the human brain’s learning process. They are especially useful when it comes to identifying complex patterns in vast amounts of data, which can be difficult or time consuming for scientists. An ANN that could predict the habitability of vast numbers of planets, therefore, could save scientists time and help them focus on only the most promising targets.
“We’re currently interested in these ANNs for prioritizing exploration for a hypothetical, intelligent, interstellar spacecraft scanning an exoplanet system at range,” Christopher Bishop, a researcher at the Centre for Robotics and Neural Systems at Plymouth University, said in a statement.
Scientists there are training so-called artificial neural networks (ANNs) to predict the probability of life on other planets, in the hopes of identifying promising targets for future interstellar space missions. The Plymouth team have taught their neural network to classify planets into five different categories depending on whether they resemble present-day Earth, early Earth, Mars, Venus or Saturn’s largest moon Titan.
These worlds are similar in that they are rocky and have atmospheres, albeit of varying compositions. Aside from Earth, Mars and Titan represent two of the most promising targets in the search for extraterrestrial life in the solar system, while even scorching-hot Venus may have the right conditions to support life, according to new evidence.
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