There are two approaches to create intelligence in machines. One is to understand how human brain creates intelligence and replicate the methods used by it to create AI. The other is to take a fresh engineering approach to create intelligence. There is an ongoing debate as to which approach is feasible or better. Few companies like Numenta and Vicarious have invested in understanding the neocortex. They have launched successful applications that work on the principles of neocortex. Other big companies including Google, Microsoft and Facebook use deep learning to create applications that can do major classification tasks. But deep learning does not exploit the concepts of neocortex, and hence is not up to the mark to do continuous learning. The deep learning models first go through a training phase and then the models are used to do classification. The idea that makes neocortex truly intelligent is that it is able to do pattern matching and prediction. This has given humans the ...