NASA 正将人工智能引入月球研究,助力科研人员变革月表分析方式。在与 IBM 研究院及多家学术机构持续合作下,NASA 推出了 NASA-IBM 月球基础模型(NASA-IBM Lunar Foundation Model),这是首批专为月球科学构建的开源 AI 模型之一。该模型主要基于[…]训练而成。
NASA is bringing artificial intelligence to the study of the Moon, helping researchers transform how they analyze the Moon’s surface. In an ongoing collaboration with IBM Research and several academic institutions, NASA has launched the NASA-IBM Lunar Foundation Model, among the first open-source AI models built specifically for lunar science. The model, trained primarily on […]
与传统模型不同——后者需针对特定任务从零开始构建并训练专用算法——基础模型(foundation models)则在海量无标签数据集上进行预训练。通过预训练获得的广泛知识,使其仅需快速微调即可泛化至多个科学领域,从而在加速科学研究方面兼具通用性与高效性。该模型还能比人工方法更高效地绘制月表特征(例如撞击坑)。每个撞击坑均由天体撞击形成,因此撞击坑计数与测量对于月表定年及太阳系历史重建至关重要。该基础模型有助于加快撞击坑识别与测量流程,使科学家得以专注于结果解读,并研判其对月球探测任务的意义。总体而言,在所有评估任务中,该模型的表现均达到或超越了多个其他强基线模型:在撞击坑制图与不规则月海斑块分割任务中取得相当的结果,而在极区冰稳定性估算任务中展现出明显优势。墨西哥第二大都市区毗邻东马德雷山脉(Sierra Madre Oriental)的褶皱岩层。
Unlike traditional models that require building and training specialized algorithms from scratch for specific tasks, foundation models are pre-trained on vast, unlabeled datasets. The broad knowledge they acquire through pre-training allows them to generalize across multiple scientific domains through quick fine-tuning, making foundation models both versatile and efficient in accelerating scientific research. The model also can map surface features, such as craters, more efficiently than manual methods. Every crater is formed by an impact, making crater counts and measurements essential for dating the lunar surface and reconstructing solar system history. The foundation model helps speed up the process of identifying and measuring craters, allowing scientists to focus on interpreting findings and determining their implications for exploration. Overall, the model matched or exceeded the performance of several other strong baseline models across all evaluated tasks, achieving comparable results on crater mapping and segmentation of irregular mare patches, while demonstrating a clear advantage on estimating polar ice stability. Mexico’s second-largest metropolitan area borders on folded rock layers of the Sierra Madre Oriental.