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General Relativity under Machine Learning delves into the application of Einstein's theory of gravitation to machine learning algorithms, particularly those involving large data sets and complex computations. This field explores how the curvature of spacetime, a key concept in General Relativity, can be utilized to optimize learning processes, enhance data modeling, and improve predictive accuracy. It marries the principles of space-time geometry with machine learning techniques to create innovative solutions for data analysis and pattern recognition, thereby contributing significantly to the advancement of both Space Science and Science at large.