[mappingbabeljc]

Tried to get at this in the article (author here), but it's using vectors (think word2vec and seq2seq) to distill meaning and embed words and phrases into a single space that the computer can then use to reason about. From my understanding this is all done on the query end of things, so it's basically letting them do better natural language processing. It also ties into Hinton's work on "Thought Vectors".

[ryporter]

As some feedback to the author, the following sentence doesn't make sense: "Artificial intelligence sits at the extreme end of machine learning..." Machine Learning is a subfield of AI.

[mappingbabeljc]

Thanks for the feedback. As a general news organization we struggle with definitions/scoping for stuff within AI as it's such a new area and we try to write for a broad, albeit informed, readership. I'll keep this in mind for future articles where we classify the two.