Very interesting video, these concepts seemed to have progressed a lot since last I checked in on them. That being said, I'm finding it very difficult to find

Very interesting video, these concepts seemed to have progressed a lot since last I checked in on them. That being said, I'm finding it very difficult to find any objective comparisons of these algorithms to other, more mainstream machine learning techniques. In the talk, he gave the impression that there was a tremendous amount of data to back up these claims, and that he just didn't have time to present it all. I went through many of the white papers available on the Numenta website. Many were just overall outlines of the approach. A few of them demonstrate tasks for which some form of learning is occurring, however, it was hard for me to know, in the absence of objective comparisons to other techniques, just how good the results really are. So far, the only objective comparison I could find involved handwritten character recognition, and that was against what appeared to be a standard feed forward neural network with only a single hidden layer. Not exactly state of the art.. why not compare to SVMs, convolutional NNs, deep belief nets, etc..? So I am at this point hopeful, but fairly skeptical. If nothing else these are some inspiring ideas.