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Building Brains to Understand the World's Data

Google TechTalks

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  • Recommended by 2 people: 1 on Hacker News and 1 in engineering communities.
  • Presented by Jeff Hawkins, co-founder of Numenta
  • May be out of date. Uploaded 13 years ago, in an area where tools change fast.

Intermediate. Assumes working knowledge.

83K views13 years ago2 recommendations

AI and machine learningNeural networks and deep learningClassic machine learning

Jeff Hawkins explains how the neocortex processes information using sparse distributed representations and how Numenta models this for predictive data streams.

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.

Why it's here

2 people recommend this

What people say. Recommended for its explanation of Hierarchical Temporal Memory and brain-inspired approaches to machine intelligence.

Moments people linked to

u/patty000wagonin r/compsci • Recommends

Building Brains to Understand the World's Data - Jeff Hawkins
17View on Reddit

scotthon Hacker News • Recommends

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. link to this video

dsegoon Hacker News • Mentions

On “The Stupidity of Computers”

What about this? Building Brains to Understand the World's Data (google tech talk): link to this video The result is link

daveguyon Hacker News • Mentions

On “A Theory of Sequence Memory in Neocortex”

…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 link to this video Starting at ~8m20s…

u/tiftikin r/compsci • Mentions

On “When "cyberbrains" become feasible, I would like to be ready to work in that field. What do I need to learn? [xpost /r/cscareerquestions]”

That's why I said memory chips, not processors. It might not be necessary to design a chip that explicitly has all the neurons and their connections. Disclaimer: My knowledge of the brain is very limited and what makes me think there might be a simpler way is this talk: link to this video

u/Mashunautin r/compsci • Mentions

Jeff Hawkins talks about intelligent machines managing our Global Data at Google. Hi everyone. So I was watching this lovely lecture: link to this video I have learned some new and interesting things about the brain (that hasn't happened in a while), but more joyfully, this reinforced and expanded on my predictions of our future making use of online learning AI's that will be widely applied to optimize energy use, distribute processing power efficiently (I predict a unified, distributed processing gird in the future, instead of having your own local processors for anything more than local input and output encoding and decoding, which you will buy bandwidth\cycles from like you do internet or electric…