Steve,

 

you are not alone. How big can one go with an FPGA that is currently
available? 1K? 10K? 10K would already be nearing some practical applications
with EI, but 100K would be better. I am thinking EI because I am sure that,
if EI can be demonstrated for example in image recognition, then it would
attract attention immediately, including the chip makers. "General
computation" is too vague. Or, better, I propose to start "general
computation" with EI, then one could expand. 

 

Also, personally I believe this would be "hyper-Turing" but I would be very
careful with that term because there is too mych hype about it. Ben has
strong reasons why it is better not to use the term for now. I am very happy
that such things can be calculated, and there is plenty of time to find out
if they are hyper or not. 

 

Do you do these things? Do you build analogs from components? I don't have
any money, but just saying. 

 

Sergio

 

 

 

From: Steve Richfield [mailto:[email protected]] 
Sent: Tuesday, July 10, 2012 2:48 PM
To: AGI
Subject: Re: [agi] Analog Computation

 

Sergio,

On Tue, Jul 10, 2012 at 12:30 PM, Sergio Pissanetzky
<[email protected]> wrote:

how do you do millions with analogs? 


The technology is well known and would be fairly easy to build, but the
chips aren't (yet) available because there is no market (yet) for them!!!
This is obviously a chicken-or-egg problem.

Basically, you would build it just like an FPGA, where the interconnections
are made with programmed transmission gates. However, instead of switching
logic gates, you would be switching integrators and other analog building
blocks.

Note that people have already done this, but switched "artificial neuron
synapses" instead of more general purpose analog building blocks.

Such a device attached to a PC as an outboard processor could enable really
general purpose hyper-Turing computation at pretty much full unhindered
speeds. I see the promise here, but so far I seem to stand alone in this.

Steve


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