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Building Brains to Understand the World's Data

GoogleTechTalks · Youtube · 16 HN points · 5 HN comments
HN Theater has aggregated all Hacker News stories and comments that mention GoogleTechTalks's video "Building Brains to Understand the World's Data".
Youtube Summary
Google Tech Talk
February 12, 2013
(more info below)
Presented by Jeff Hawkins.

ABSTRACT

The neocortex works on principles that are fundamentally different than traditional computers. In this talk I will describe recent advances in understanding the neocortex and how we are applying them to model millions of high velocity data streams.
The talk will start with a description of sparse distributed representations, which are the fundamental units of information in brains. I will then discuss how these representations are learned and how the brain processes them to build predictive models from sensory data. Numenta has built a product called Grok that emulates these capabilities of the neocortex. Grok is being used to understand high velocity machine generated data in many different domains. I will give a brief introduction to Grok and speculate on the future of machine intelligence.
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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 more efficiently.

That is just on the surface. With a product / research balance maybe we just aren't seeing all the cool things going on underneath in research, but it does seem like that research will be shoe-horned into HTM whether or not it is the best architecture.

[0] https://www.youtube.com/watch?v=4y43qwS8fl4&app=desktop

Starting at ~8m20s

Oct 23, 2017 · 1 points, 0 comments · submitted by blacksmythe
Jan 13, 2017 · 3 points, 0 comments · submitted by RichardHeart
Feb 07, 2014 · dsego on The Stupidity of Computers
What about this?

Building Brains to Understand the World's Data (google tech talk):

https://www.youtube.com/watch?v=4y43qwS8fl4

The result is http://www.groksolutions.com/

This Google tech talk provides the missing context: http://www.youtube.com/watch?v=4y43qwS8fl4
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.

http://www.youtube.com/watch?v=4y43qwS8fl4&list=FLgNLujlOCEu...

moondowner
Also a related whitepaper on the Cortical Learning Algorithm https://www.groksolutions.com/technology.html#cla-whitepaper
moondowner
Thanks for pointing out the video!

In this talk, in the second half Jeff is actually talking about Grok too, and at ~38 he shows the architecture: http://i41.tinypic.com/4jhiu.jpg

http://www.youtube.com/watch?v=4y43qwS8fl4 - Jeff Hawkins recent talk at Google with Kurzweil in the audience asking questions.
Mar 28, 2013 · 4 points, 0 comments · submitted by widdershins
Mar 12, 2013 · 8 points, 1 comments · submitted by gosub
rasengan0
Jeff Hawkins is a rock star. This pioneer of mobile computing looks like he is in startup mode. Oh wait, he's been a founder before :-)

My first thought was Google picked the wrong guy (turns out RK had the first question on the use of binary vs scalars/probabilistic, but Numenta is making Grok actionable affording readability (speed) over the theory.

I love the applications of real-world problems from the Grok engine vs all the great PR from how-to-build-a-mind vapors of late.

Just gimme that ol' real-time data...

also interesting is the flight of former CTO, Dr. George to sprout http://vicarious.com/

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