Equipped with wearable AI systems and digital eyes that see what human eyes can’t, space explorers of the future could be not just astronauts, but “cyborg astrobiologists.”
That’s the vision of a research team led by Patrick McGuire, a University of Chicago geoscientist who’s developed algorithms that can recognize signs of life in a barren landscape.
“When they look at scenery, children gravitate towards the thing that’s different from the other things,” said McGuire. “That’s how I looked at the cyborg astrobiologist.”
At the heart of McGuire’s system is a Hopfield neural network, a type of artificial intelligence that compares incoming data against patterns it’s seen before, eventually picking out those details that qualify as new or unusual.
