HTM School
Jeff Hawkins gives a keynote talk at Cornell Silicon Valley’s premiere event, March 2017. This is a trimmed video of the talk with permission from Cornell University.
Source
Jeff and Subutai at CSV17 – Reverse Engineering the Brain for Intelligent Machines
Jeff, the core you are looking for is in nature, and is well known. It is causality, more precisely the fundamental principle of causality. If you have a system made of many identical parts, causality is what breaks that symmetry and makes the parts distinct. Then when the system loses energy, its entropy drops, binding takes place, and hence the hierarchies of algorithms we call adaptation and intelligence. This mechanism is easy to implement. The brain is a mere implementation of the mechanism.
Oh boy, patent madness again. Imagine Ritchie/Turing/Von Neumann/Babbage patenting stuff… or Pythagoras patenting business method to profit from certain triangle… or ancient Indians patenting zero. In any case,patents on artificial intelligence are the best proof of natural stupidity of humanimals… and show that our (*) sole purpose of existence in the Grand Theatre of Evolution of Intelligence is to create our (first nonbio) successor before we manage to self-destruct (*) actually – memetic supercivilization of Intelligence living in less than a per cent of the underlying humanimal population (and giving them without any control – ensuring their self-destruction – all these ideas, science and subsequent technologies… too much power for DeepAnimal brain parts ruling over these creatures
is there any exact path of data-flow among cellular level (i mean , does layer 2/3,4,5,6 have occurrence pattern ? ) ?
Numenta should get in touch at some point in time with developmental biologists, some of these principles/algorithms might have overlap.
I call it the paper plane RAM method