Artificial Intelligence

Artificial intelligence, with its ability to adaptively analyze data in higher dimensional spaces, has become a powerful tool for analyzing the underlying laws in big data. We introduce AI in spectral analysis, which is mainly used for cleaning non-target information in spectral data and building a bridge between spectral and chemical information.

This includes but is not limited to:

1) Removal of noise and background signals from spectral data

2) Interpretability of machine learning models in the spectral analysis

3) Development and application of self-supervised learning in spectroscopy