Building Brains to Understand the World's Data
Why Hacker News recommends it
Recommended as Hawkins' own accessible statement of his brain-inspired theory of intelligence and its software implementation.
What it is
Jeff Hawkins presents his view that the neocortex works on principles different from traditional computers. He describes sparse distributed representations and how they are learned, then shows how Numenta applies them to predict from high-velocity data streams.
Recommended by 1 HN commenters across 1 different months, 2013 to 2017.
What Hacker News said
Recommends scotth · 2013-06 · on “Palm founder Jeff Hawkins on neurology, big data, and the future of AI”
Here's an related talk by Jeff Hawkins at Google, where he gets into his ideas about the structure of the brain, and what he's done to reconstruct it in software/hardware. [this video]
Cites dsego · 2014-02 · on “The Stupidity of Computers”
What about this? Building Brains to Understand the World's Data (google tech talk): [this video] The result is [LINK]
Cites daveguy · 2017-10 · on “A Theory of Sequence Memory in Neocortex”
I think that Hawkins has a great summary on some things that are necessary for intelligence [0]. Personally I think the tie between motor actuation and sensory detection is one of the most important -- did a project on that in 2010. Motor-sensory link is essentially how all intelligence evolved. Even c.elegans has neurons to determine whether it should wiggle one way or another. On the surface he seems to be cramming a whole lot of "solutions" into his HTM (hierarchical temporal memory). HTM is an interesting implementation and the sparse coding is definitely a benefit. However I think he is focused too much on his baby and not on other techniques that may fulfill the necessary components mo