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	<title>Comments on: Jeff Hawkins, Neurodudes-style</title>
	<atom:link href="http://neurodudes.com/2005/03/24/jeff-hawkins-neurodudes-style/feed/" rel="self" type="application/rss+xml" />
	<link>http://neurodudes.com/2005/03/24/jeff-hawkins-neurodudes-style/</link>
	<description>at the intersection of neuroscience and AI.</description>
	<pubDate>Fri, 29 Aug 2008 19:38:59 +0000</pubDate>
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		<title>By: neurodudes &#187; Blog Archive &#187; Company Using &#8220;In Silico Embodiment&#8221; To Build Artificial Intelligence</title>
		<link>http://neurodudes.com/2005/03/24/jeff-hawkins-neurodudes-style/#comment-325166</link>
		<dc:creator>neurodudes &#187; Blog Archive &#187; Company Using &#8220;In Silico Embodiment&#8221; To Build Artificial Intelligence</dc:creator>
		<pubDate>Fri, 24 Aug 2007 05:02:08 +0000</pubDate>
		<guid isPermaLink="false">http://s93794016.onlinehome.us/wordpress/?p=106#comment-325166</guid>
		<description>[...] Goertzel&#8217;s presentation is notable for its modesty. He acknowledges the classic problems of the AI enterprise, like the habit of promising AI algorithms failure to scale up due to combinatorial explosion, and of AI presentations, like hiding inconvenient details behind complex Powerpoint presentations. Refreshingly, he makes fun of these bad patterns as cliches to reassure the audience that he wants to avoid falling into these traps. It pays off, and he wins my respect for doing so. He lays out some of the details of his architecture, but my attention is drawn more to his basic philosophy and approach more than anything else. He makes some interesting points about combinatorial complexity of AI programs, and, in the QA period, offers his views on competing architectures like that of Jeff Hawkins at Numenta. [...]</description>
		<content:encoded><![CDATA[<p>[...] Goertzel&#8217;s presentation is notable for its modesty. He acknowledges the classic problems of the AI enterprise, like the habit of promising AI algorithms failure to scale up due to combinatorial explosion, and of AI presentations, like hiding inconvenient details behind complex Powerpoint presentations. Refreshingly, he makes fun of these bad patterns as cliches to reassure the audience that he wants to avoid falling into these traps. It pays off, and he wins my respect for doing so. He lays out some of the details of his architecture, but my attention is drawn more to his basic philosophy and approach more than anything else. He makes some interesting points about combinatorial complexity of AI programs, and, in the QA period, offers his views on competing architectures like that of Jeff Hawkins at Numenta. [...]</p>
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		<title>By: Norman Vander</title>
		<link>http://neurodudes.com/2005/03/24/jeff-hawkins-neurodudes-style/#comment-208345</link>
		<dc:creator>Norman Vander</dc:creator>
		<pubDate>Mon, 02 Jul 2007 20:01:48 +0000</pubDate>
		<guid isPermaLink="false">http://s93794016.onlinehome.us/wordpress/?p=106#comment-208345</guid>
		<description>[…]I just read “On Intelligence”, and I was really impressed. Numenta isn’t just about a new platform, API, algorithm.[…]</description>
		<content:encoded><![CDATA[<p>[…]I just read “On Intelligence”, and I was really impressed. Numenta isn’t just about a new platform, API, algorithm.[…]</p>
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		<title>By: neurodudes &#187; Blog Archive &#187; Hawkins Releases Numenta Code</title>
		<link>http://neurodudes.com/2005/03/24/jeff-hawkins-neurodudes-style/#comment-47611</link>
		<dc:creator>neurodudes &#187; Blog Archive &#187; Hawkins Releases Numenta Code</dc:creator>
		<pubDate>Wed, 07 Mar 2007 04:12:46 +0000</pubDate>
		<guid isPermaLink="false">http://s93794016.onlinehome.us/wordpress/?p=106#comment-47611</guid>
		<description>[...] We have been covering Hawkins&#8217; work for a while now. See these previous  posts  for more background info. [...]</description>
		<content:encoded><![CDATA[<p>[...] We have been covering Hawkins&#8217; work for a while now. See these previous  posts  for more background info. [...]</p>
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		<title>By: Neville</title>
		<link>http://neurodudes.com/2005/03/24/jeff-hawkins-neurodudes-style/#comment-656</link>
		<dc:creator>Neville</dc:creator>
		<pubDate>Tue, 31 May 2005 22:59:41 +0000</pubDate>
		<guid isPermaLink="false">http://s93794016.onlinehome.us/wordpress/?p=106#comment-656</guid>
		<description>8 hours! That's not my idea of an easy read... must have been a real page-turner!

Seriously though, thanks for the mini book review. I'll have to check it out.</description>
		<content:encoded><![CDATA[<p>8 hours! That&#8217;s not my idea of an easy read&#8230; must have been a real page-turner!</p>
<p>Seriously though, thanks for the mini book review. I&#8217;ll have to check it out.</p>
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		<title>By: Tevye R. Krynski</title>
		<link>http://neurodudes.com/2005/03/24/jeff-hawkins-neurodudes-style/#comment-654</link>
		<dc:creator>Tevye R. Krynski</dc:creator>
		<pubDate>Wed, 31 Dec 1969 19:00:00 +0000</pubDate>
		<guid isPermaLink="false">http://s93794016.onlinehome.us/wordpress/?p=106#comment-654</guid>
		<description>I just read "On Intelligence", and I was really impressed.  Numenta isn't just about a new platform, API, algorithm.  It's not even about a new kind of neural network.  It's about Hawkins' theory of the cortex, and it is truly revolutionary (whether it's accurate or not).  The idea is that every region of the cortex -- visual, auditory, motor, association, language -- does the same thing: detection of patterns, representation of invariances, and prediction from a generative model of the world based on invariances.  He has a theory of how this is accomplished in each individual cortical column using the cells in the 6 layers.  And he has a theory of how a hierarchical connectivity between cortical regions enables cognition to become more and more abstract and analogical in higher cortical regions.  I highly recommend reading the book before forming any opinions.  It's an easy read -- I finished it in 8 hours, and I'm a slow reader.


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		<content:encoded><![CDATA[<p>I just read &#8220;On Intelligence&#8221;, and I was really impressed.  Numenta isn&#8217;t just about a new platform, API, algorithm.  It&#8217;s not even about a new kind of neural network.  It&#8217;s about Hawkins&#8217; theory of the cortex, and it is truly revolutionary (whether it&#8217;s accurate or not).  The idea is that every region of the cortex &#8212; visual, auditory, motor, association, language &#8212; does the same thing: detection of patterns, representation of invariances, and prediction from a generative model of the world based on invariances.  He has a theory of how this is accomplished in each individual cortical column using the cells in the 6 layers.  And he has a theory of how a hierarchical connectivity between cortical regions enables cognition to become more and more abstract and analogical in higher cortical regions.  I highly recommend reading the book before forming any opinions.  It&#8217;s an easy read &#8212; I finished it in 8 hours, and I&#8217;m a slow reader.</p>
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