[kmike84]

I haven't read a book, only read a whitepaper and followed news around Numenta. Another difference is that deep learning works in practice to acheive state of the arts results, beat benchmarks and drive huge production systems, while CLA/HTM is yet to demonstrate a good result on a public dataset. If you're good focus on convincing other scientisis you're good, not on impressing beginners. It looks like it is developed as a one-man show outside the traditional ML/statistics world. Maybe the ideas are interesting, and maybe they are good, but I don't understand why are they receiving so much publicity now.