Impact Crater Classifier Automated By Machine Learning Algorithm is Used To Identify Unknown Craters on Mars

With over 112,000 images fed to an algorithm taken by the Context Camera on NASA’s Mars Reconnaissance Orbiter (MRO), scientists conclude that there was most likely a meteor impact between March 2010 and May of 2012. The innovative A.I. tool developed by NASA has helped identify new craters on Mars that may have formed within the last decade.

“AI can’t do the kind of skilled analysis a scientist can,” Kiri Wagstaff, JPL computer scientist, said in the statement. “But tools like this new algorithm can be their assistants. This paves the way for an exciting symbiosis of human and AI ‘investigators’ working together to accelerate scientific discovery.”

NASA researchers coded the impact crater classifier using 6,830 images taken by the Context Camera. This process included photos of areas where humans had previously identified impacts, as well as areas with no craters, so the tool could learn to properly differentiate surface features on the Red Planet.

“There are likely many more impacts that we haven’t found yet,” Ingrid Daubar, a scientist at JPL and Brown University, who helped develop the crater classifier, said in the statement. “This advance shows you just how much you can do with veteran missions like MRO using modern analysis techniques.”

 
March 17th, 2021
Artificial Intelligence, General
| Author: admin

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