Interesting Elastic article:Generating and visualizing alpha with Vectorspace AI datasets and Canvas

tc56411

In 2002 at Lawrence Berkeley National Laboratory, Vectorspace created feature vectors based on Natural Language Understanding (NLU), also known today as word embeddings. Feature vectors were used to generate correlation matrix datasets to analyze hidden relationships between genes related to extending lifespan, breast cancer and DNA damage repair resulting from space radiation.

https://elastic.co/blog/generating-and-visualizing-alpha-with-vectorspace-ai-datasets-and-canvas