Hard Light Productions Forums
Off-Topic Discussion => General Discussion => Topic started by: Kosh on September 19, 2004, 02:12:59 am
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I'm suprised this hasn't been posted for debate yet. Yes, I know it is a week old.
http://news.bbc.co.uk/2/hi/technology/3643902.stm
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"If the net grows to 100 billion devices connected to it, our goal is to have a piece of Intel inside in every one of those hundred billion," :ha: Dream on....not in my house anyway.
It looks like scare-mongering to drum up business.
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100 Billion connected devices...
That's more connections than the human brain, are we sure the damn thing is not aware of us?
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100 billion is actually (unless my exponents are wrong, 100 bil is 10^11, isn't it?) the same number (well roughly) as there are computational units in the brain, but is still an order of magnitude less in terms of storage units.
Kinda makes you think, eh? :)
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Intel inside every one? Sounds like a plot to take over the world...
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What if it is something that is just as small as a resistor or an IC chip?
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Hm.... AMD, nVidia, ATI... Nope, no Intel parts in this computer :)
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Originally posted by aldo_14
100 billion is actually (unless my exponents are wrong, 100 bil is 10^11, isn't it?) the same number (well roughly) as there are computational units in the brain, but is still an order of magnitude less in terms of storage units.
Kinda makes you think, eh? :)
If you by computational units mean neurons, there's 10 billion of them, each with an average of 1000 connections to other neurons. And neurons work more like tiny computers (IIRC networks of tubulin (sp?) proteins functioning as cellular automata) than simple binary switches.
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Originally posted by Aspa
If you by computational units mean neurons, there's 10 billion of them, each with an average of 1000 connections to other neurons. And neurons work more like tiny computers (IIRC networks of tubulin (sp?) proteins functioning as cellular automata) than simple binary switches.
Brain has 10 ^ 11 neurons (100 billion, 1 billion = 10^9 unless i'm mistaken), 10^14 synapses, 10^-3secs cycle time, 10^14 bits/sec bandwidth and 10^14 neuron updates/sec.
IIRC the brains learning process is a strengthening of certain pathways between neurons, where the firing of said pathways is the result of sensory input.
I can;t remember offhand if the brains learning process is different from a computational neural network - in the latter case learning is performed by tuning a weight (upon the inputs to the 'neuron', also aka perceptron for non-feedback NNs), until a desired output is achieved (or rather, to move closer to that desired output). Albeit I'm not sure how similar the brains own learning process is to this, it's been about 4 months or so since I studied it.