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InvisibleZShroom
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Registered: 07/08/07
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Brain science
    #7180468 - 07/15/07 09:20 PM (5 years, 10 months ago)

finally we are starting to understand the brain fully.
I like what this man has to say.:)

&mode=user&search=

any thoughts/comments please respond


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OfflineSyle
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Re: Brain science [Re: ZShroom]
    #7180588 - 07/15/07 09:49 PM (5 years, 10 months ago)

that was VERY cool, thanks for posting that!


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Invisiblebadchad
Mad Scientist

Registered: 03/02/05
Posts: 9,217
Re: Brain science [Re: Syle]
    #7182249 - 07/16/07 08:17 AM (5 years, 10 months ago)

I found that quite interesting. When it comes to AI, I'm always curious as to what exactly constitutes AI.

I liked his talk, however he seems to emphasize prediction as the basis for AI. It would seem that we already have all sorts of computers that can predict things, its a simple matter of statistics. I'd like to ask him what is the basic difference between AI (which can predict things and react to them) and a computer with an advanced statistical program (which can also predict things in the environment and react to them)?


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...the whole experience is (and is as) a profound piece of knowledge.  It is an indellible experience; it is forever known.  I have known myself in a way I doubt I would have ever occurred except as it did.

Smith, P.  Bull. Menninger Clinic (1959) 23:20-27; p. 27.

...most subjects find the experience valuable, some find it frightening, and many say that is it uniquely lovely.

Osmond, H.  Annals, NY Acad Science (1957) 66:418-434; p.436


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OfflineSyle
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Re: Brain science [Re: badchad]
    #7182429 - 07/16/07 10:02 AM (5 years, 10 months ago)

Quote:

badchad said:
I found that quite interesting. When it comes to AI, I'm always curious as to what exactly constitutes AI.

I liked his talk, however he seems to emphasize prediction as the basis for AI. It would seem that we already have all sorts of computers that can predict things, its a simple matter of statistics. I'd like to ask him what is the basic difference between AI (which can predict things and react to them) and a computer with an advanced statistical program (which can also predict things in the environment and react to them)?




computers are only able to predict based upon the information we input into them.

the AI he is talking about is a form of "computing" that is done in the brain of the computer without any inputting of information by us. the computer learns on it's own.


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Invisiblebadchad
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Registered: 03/02/05
Posts: 9,217
Re: Brain science [Re: Syle]
    #7182533 - 07/16/07 11:03 AM (5 years, 10 months ago)

Okay, I see your point.

However, it would still seem that at some point any type of AI will need some type of "input". This may be flipping a switch to turn the computer on, loading a program etc.


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...the whole experience is (and is as) a profound piece of knowledge.  It is an indellible experience; it is forever known.  I have known myself in a way I doubt I would have ever occurred except as it did.

Smith, P.  Bull. Menninger Clinic (1959) 23:20-27; p. 27.

...most subjects find the experience valuable, some find it frightening, and many say that is it uniquely lovely.

Osmond, H.  Annals, NY Acad Science (1957) 66:418-434; p.436


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InvisibletrendalM
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Re: Brain science [Re: ZShroom]
    #7182546 - 07/16/07 11:08 AM (5 years, 10 months ago)

I really like this guys theories on the brain, and highly recommend his book, On Intelligence, to anyone interested in this!


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You're here because you know something.
What you know you can't explain,
But you feel it;
You've felt it your entire life.
That there's something wrong with the world.
You don't know what it is, but it's there....
Like a splinter in your mind...
Driving you mad.


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OfflineSeussA
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Re: Brain science [Re: Syle]
    #7182692 - 07/16/07 12:09 PM (5 years, 10 months ago)

Quote:

computers are only able to predict based upon the information we input into them.

the AI he is talking about is a form of "computing" that is done in the brain of the computer without any inputting of information by us. the computer learns on it's own.




I am confused by your comments. I haven't watched the film yet, so this may be part of my problem.

There are two types of computer learning: supervised and unsupervised. With supervised learning, we present the computer with an input and tell it if the correct output was selected or not. The computer then adjusts itself so that the next time it is shown the input it is more likely to choose the desired output. With unsupervised learning, the computer is only shown inputs and learns, without help, based completely upon the inputs received.

An example of unsupervised learning in biology is the ability to focus the eyes. Nobody tells a baby that something is in focus or not, it simply learns how to focus based upon inputs coming from the eyes to the brain.

An example of unsupervised learning with a computer is a Kohonen network. For example, I wrote a Kohonen neural network that quantifies colors in a picture simply by looking at each pixel in the picture. I never taught the network how to quantify colors, or what the correct matrix is for a given picture.


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Just another spore in the wind.


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