Computing Life

探索用生成式AI解决天文图像中CMOS灰尘去除难题。通过让AI生成灰尘遮罩而非直接修复图像，结合确定性数学平场校准，实现既保留科学严谨性又获得AI强大效果的工作流。

Explores using generative AI to remove CMOS dust from astronomical images. By having AI generate dust masks rather than direct corrections, then applying deterministic flat-field calibration, achieves both scientific integrity and AI's powerful recognition capabilities.

用Skyfield库模拟行星位置，通过可见性、直线排列度和黄经集中度三项指标量化评估行星连珠现象，实现天体排列的定量分析与预测。

A quantitative approach to identifying planetary alignments using orbital mechanics and Skyfield library, combining visibility, linear alignment, and longitude clustering metrics to search decades of astronomical data.

5分钟用AI给全天相机加上云量识别功能：利用GPT-4V理解云量，让AI自动编写调用API的代码，展示AI时代开发效率的革命性提升。