This story continues to trend right along with the rise of artificial intelligence.
Case-in-point: some astrobiologists think the Viking lander on Mars actually found life, only to kill it by feeding it too much good thing .
But now there’s a new approach to spotting signs of life on other worlds.
Some think they’ll be able to spot signs of alien life on Earth when they encounter it, while others worry that we might miss out on evidence of extraterrestrial life if we ever do encounter it.
Enter Professor Robert Hazen of the Carnegie Institution and his team.
They’re preparing for that day, and have designed a machine learning program that can tell between living and non-living things.
It has a good 90 percent success rate at distinguishing between different types of samples.
Soon, they hope, they’ll have a chance to test it on samples from Mars.
In the meantime, they’ve been using this technology to train their model to distinguish biological samples
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