At work I was making an hyperspectral image pixel classifier in Python. I just noticed how close its implementation is to the use of embeddings to find the relatedness of articles. ie. by calculation of dot product and cosine on their embeddings.

How weird, the natural language world lends itself to classification with the same calculations as used in the images world.