Researchers from the Chinese Academy of Sciences developed neural networks to improve the efficiency of spectral data compression for vacuum solar telescopes. This advancement could enhance data collection and analysis for astronomical observations, impacting research at institutions worldwide. The methods utilized can significantly increase performance in spectral imaging.
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