The former Space Race rivals of Russia and the US plan to use AI to scan rocks on the Red Planet for signs of life. Eventually, they aim to use the system in future missions to the moons of Jupiter and Saturn. They believe that using AI to analyze the samples and select what to send back to Earth will overcome the challenges of transmitting data between planets. As Eric Lyness, software lead in the Planetary Environments Lab at NASA’s Goddard Space Flight Center (GSFC), explained this week: [Read: Scientists built an AI to discover new stars in the quest to explain our galaxy’s origin] The AI system has now been trained to analyze hundreds of rock samples and thousands of wavelengths of electromagnetic radiation. At the Goldschmidt Geochemistry conference this week, NASA scientists revealed the first results of the system. When the algorithm processes a spectrum from an unknown compound, it can categorize it with up to 94% accuracy, and match it to previously seen samples with 87% accuracy. They now plan to further refine the algorithm before they join the 2023 mission to Mars. Lead researcher Victoria Da Poian called the project “a visionary step in space exploration.” While humans won’t be landing on Mars for some time yet, at least AI could help us find life on the Red Planet.            

How NASA is using AI in the hunt for life on Mars - 21