(in real time object detection, speech recognition)
*Interesting concepts*:

* *Word2Vec* - neat idea that maps words to points in n dimensional space. Then you can do algebra on the vector representation:
vec(“king”) – vec(“man”) + vec(“woman”) =~ vec(“queen”), or vec(“Montreal Canadiens”) – vec(“Montreal”) + vec(“Toronto”) resembles the vector for “Toronto Maple Leafs” (Mikolov, Tomas; Sutskever, Ilya; Chen, Kai; Corrado, Greg S.; Dean, Jeff (2013). Distributed representations of words and phrases and their compositionality)