美国宇航局寻求公众帮助训练火星漫游车

　　10 November 2021
　　美国宇航局正在寻求公众帮助鉴定火星探测器捕捉的重要图片。这个项目设计是帮助教AI系统认识图片中不同的科学元素。
　　The American space agency NASA is seeking help from the public to identify important images captured by Mars explorers.
　　The project is designed to help teach an artificial intelligence, AI, system to recognize different scientific elements seen in the pictures.
　　有些图片是由毅力号探测器，美国宇航局最新的漫游车捕捉的，其他则来源于宇航局的精神和机遇。
　　Some of the images were captured by Perseverance, NASA＂s latest Mars rover, or explorer. Others came from the agency＂s Spirit and Opportunity rovers.
　　AI在美国宇航局努力用航天器和探测器处理和收集数据中发挥重要作用。空间代理开发AI算法识别和汇总科学有趣元素。但是这个算法必须由人类有序训练才能为人类工作。
　　AI plays an important part in NASA＂s efforts to process data collected by its spacecraft and exploring vehicles. The space agency develops AI algorithms to identify and group elements of scientific interest. But the algorithms must be trained by humans in order for them to work.
　　那些是普通公民能帮助的。美国宇航局毅力号探测器在特定日能送数百张图片到地球，科学家和工程师考察图片探寻火星表面不同地质特性。
　　That is where private citizens can help.
　　NASA says Perseverance can send hundreds of images to Earth on any given day. Scientists and engineers examine the images as they search for different geological qualities of the surface of Mars.
　　这些图片也能帮助指导火星上的毅力号探测器和其他漫游器的操作。但是地球团体在很短时间发出指令。美国宇航局看完图片的指令必须及时送回毅力号探测器。
　　These images can also help guide Perseverance and other rovers operating on Mars. But the team on Earth faces a very short timeline. NASA said in a recent statement, ＂After those images travel millions of miles from Mars to Earth, the team members have a matter of hours to develop the next set of instructions.＂
　　Those instructions -- based on what the NASA team sees in the images -- must then be sent back to Perseverance.
　　公众项目叫AI4Mars.该项目从数千张图片中建立大量固定的数据库。研究者能用这些图片很快发现有趣的地质特性。
　　those who run the public project, called AI4Mars.
　　The AI4Mars project aims to build a large, solid set of data created from thousands of images. Researchers can use these images to quickly discover interesting geological features.