Machine Learning Algorithms Help Scientists Explore Mars - Eos

NASA's Curiosity rover has been exploring the Red Planet's surface for nearly a decade, with its main mission being to determine whether Mars was once habitable. While the rover's investigations have indeed confirmed that Mars was once a watery world filled with potentially life-sustaining chemistry, there's still much to learn. Curiosity's mountains of data offer an opportunity to use machine learning algorithms to investigate the planet's surface in even more detail. Rammelkamp et al. focused on the data collected by Curiosity's Chemistry and Camera (ChemCam) instrument package. ChemCam combines two instruments: a laser-induced breakdown spectrometer (LIBS) and a remote micro-imager (RMI) for high-resolution imaging.