NASA 與 IBM 發布用於月球繪圖的 AI 模型
NASA and IBM release AI model for lunar mapping
Updated at: September 20, 2026 at 01:00 AM
2026年9月，NASA與IBM推出了「NASA-IBM月球基礎模型」，這是一款創新的開源人工智慧，旨在以空前的精確度繪製月球地圖。
In September 2026, NASA and IBM launched the NASA-IBM Lunar Foundation Model, an innovative open-source AI designed to map the Moon with unprecedented precision.
數十年來，月球任務收集了大量數據，但這些資訊始終呈現碎片化且難以分析。
For decades, lunar missions have collected massive amounts of data, but this information remained fragmented and difficult to analyze.
這款新的基礎模型透過作為一個「可重複使用的骨幹」，改變了這一現狀，讓科學家無需從零開始，就能針對特定研究需求對系統進行微調。
This new foundation model changes that by acting as a 'reusable backbone,' allowing scientists to fine-tune the system for specific research needs without starting from scratch.
透過利用來自月球勘測軌道飛行器等任務的統一數據集來訓練模型，研究人員現在能夠偵測到以前隱藏的模式。
By training the model on a unified dataset from missions like the Lunar Reconnaissance Orbiter, researchers can now detect patterns that were previously hidden.
該模型已展現出令人印象深刻的成果，在預測月球冰沉積物方面，比標準系統高出22%。
The model has already demonstrated impressive results, outperforming standard systems by 22% in predicting lunar ice deposits.
這些見解對於識別水和氧氣等資源至關重要，而這些資源對於Artemis計畫建立人類長期駐留月球的目標不可或缺。
These insights are vital for identifying resources like water and oxygen, which are essential for the Artemis program’s goal of establishing a long-term human presence on the Moon.
此外，該模型還有助於繪製火山特徵和隕石坑，確保未來著陸的航行更加安全。
Furthermore, the model aids in mapping volcanic features and craters, ensuring safer navigation for future landings.
透過在Hugging Face等平台上提供這項技術，NASA和IBM正在賦能全球科學界，以加速我們對月球表面的理解，並為下一代太空探索做好準備。
By making this technology available on platforms like Hugging Face, NASA and IBM are empowering the global scientific community to accelerate our understanding of the lunar surface and prepare for the next generation of space exploration.
