[mappingbabeljc]

Hiya. For those interested, the RankBrain approach of converting words and phrases into vectors ties directly to Geoff Hinton's more ambitious ideas about AI. He speaks about it a bit from 32 mins in, in this video from the Royal Society in London earlier this year.

Geoff Hinton - "If we can convert a sentence into a vector that captures the meaning of the sentence, then google can do much better searches, they can search based on what is being said in a document. Also, if you can convert each sentence in a document into a vector, you can then take that sequence of vectors and try and model why you get this vector after you get these vectors, that's called reasoning, that's natural reasoning, and that was kind of the core of good old fashioned AI and something they could never do because natural reasoning is a complicated business, and logic isn't a very good model of it, here we can say, well, look, if we can read every English document on the web, and turn each sentence into a thought vector, we've got plenty of data for training a system that can reason like people do. Now, you might not want to reason like people do on the web, but at least we can see what they would think."

https://www.youtube.com/watch?v=IcOMKXAw5VA