Warren Smith recently pointed out that if you regard a CMOS transistor
pair as roughly comparable to a synapse, and assume rather generously
that synapses can continuously operate at 400 Hz, a 3.6 GHz Xeon with
286E6 transistors has processing power .5 X 3.6 X 286 X E(9+6)=5.1 E17
whereas a human
Hi,
On a related subject, I argued in What is Thought? that the hard
problem was not processor speed for running the AI, but coding the
software,
This is definitely true.
However, processor speed for research is often a significant issue.
With faster processors, it would be quicker to run
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Sent: Friday, July 14, 2006 12:07 PM
Subject: **SPAM** [agi] Processing speed for core intelligence in human
brain
Warren Smith recently pointed out that if you regard a CMOS transistor
pair as roughly comparable to a synapse, and assume rather generously
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Subject: **SPAM** Re: [agi] Processing speed for core intelligence in human
brain
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Ben Goertzel wrote:
Hi,
On a related subject, I argued in What is Thought? that the hard
problem was not processor speed for running the AI, but coding the
software,
This is definitely true.
Agreed.
However, Warren has recently done some digging
on the subject, and come up with what
Eugen Groan. The whole network computes. The synapse is just an
Eugen element. Also: you're missing on connectivity,
Eugen reconfigurability, synapse type and strength issues.
I'll definitely grant you reconfigurability. Might be fairer
to compare to a programmable array.
On a related
Baum [EMAIL PROTECTED]
To: agi@v2.listbox.com
Sent: Friday, July 14, 2006 2:50 PM
Subject: **SPAM** Re[2]: [agi] Processing speed for core intelligence in
human brain
Eugen Groan. The whole network computes. The synapse is just an
Eugen element. Also: you're missing on connectivity,
Eugen
Eugen Trust me, the speed is. Your biggest problem is memory
Eugen bandwidth, actually.
Well, on this we differ. I can appreciate how you might think memory
bandwidth was important for some tasks, although I don't, but
I'm curious why you think its important for planning problems like
Sokoban or
On Fri, Jul 14, 2006 at 02:50:23PM -0400, Eric Baum wrote:
Eugen Groan. The whole network computes. The synapse is just an
Eugen element. Also: you're missing on connectivity,
Eugen reconfigurability, synapse type and strength issues.
I'll definitely grant you reconfigurability. Might be
Try calculating instead the incoming bits/second stored...now calculate
the required storage space.
When you do that the computer starts looking much less
competitive...today. Calculate the space required to store, without
definitions or attached meanings, all the words in the English
language.
years from the necessary processing power
and architecture and algorithms for this).
- Original Message -
From:
Joshua
Fox
To: agi@v2.listbox.com
Sent: Thursday, July 13, 2006 1:55
PM
Subject: **SPAM** [agi] Processing speed
for core intelligence in human brain
Gr
Joshua Fox wrote:
Greetings, I am new to the list. I hope that the following question adds
something of value.
Estimates for the total processing speed of intelligence in the human
brain are often used as crude guides to understanding the timeline
towards human-equivalent intelligence.
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