  The spectroscopy measurement is one of main pathways for exploring and
understanding the nature. Today, it seems that racing artificial intelligence
will remould its styles. The algorithms contained in huge neural networks are
capable of substituting many of expensive and complex components of spectrum
instruments. In this work, we presented a smart machine learning strategy on
the measurement of absorbance curves, and also initially verified that an
exceedingly-simplified equipment is sufficient to meet the needs for this
strategy. Further, with its simplicity, the setup is expected to infiltrate
into many scientific areas in versatile forms.
