--- On Sat, 6/14/08, Ed Porter <[EMAIL PROTECTED]> wrote:
> [Ed Porter] I still think you are going to need multi-bit weights at
> row-column element in the matrix -- since most all representations of
> synapses I have seen have assumed a weight having at least 6 bits of
> information, and there is
PROTECTED]
Sent: Friday, June 13, 2008 2:30 PM
To: agi@v2.listbox.com
Subject: RE: [agi] IBM, Los Alamos scientists claim fastest computer
With regard to representing different types of synapses (various time
delays, strength bounds, learning rates, etc), this information can be
recorded as
--- On Fri, 6/13/08, Ed Porter <[EMAIL PROTECTED]> wrote:
> [Ed Porter] -- Why couldn't each of the 10^6 fibers
> have multiple connections along its length within the cm^3 (although it
> could be represented as one row in the matrix, with individual
> connections represented as elements in such a
Matt,
Thank you for your reply. For me it is very thought provoking.
-Original Message-
From: Matt Mahoney [mailto:[EMAIL PROTECTED]
Sent: Thursday, June 12, 2008 7:23 PM
To: agi@v2.listbox.com
Subject: RE: [agi] IBM, Los Alamos scientists claim fastest computer
--- On Thu, 6/12/08
--- On Thu, 6/12/08, Ed Porter <[EMAIL PROTECTED]> wrote:
> I think processor to memory, and inter processor
> communications are currently far short
Your concern is over the added cost of implementing a sparsely connected
network, which slows memory access and requires more memory for represent
As far as I know, GPU's are not very optimal for neural net calculation. For
some applications, speedup factors come in the 1000 range, but for NN's I
have only seen speedups of one order of magnitude (10x).
For example, see attached paper
On Thu, Jun 12, 2008 at 4:59 PM, Matt Mahoney <[EMAIL PRO
I think processor to memory, and inter processor communications are
currently far short
-Original Message-
From: Matt Mahoney [mailto:[EMAIL PROTECTED]
Sent: Thursday, June 12, 2008 12:33 PM
To: agi@v2.listbox.com
Subject: RE: [agi] IBM, Los Alamos scientists claim fastest computer
--- On Thu, 6/12/08, Mike Tintner <[EMAIL PROTECTED]> wrote:
> Matt:I think the ratio of processing power to memory to
> bandwidth is just about right for AGI.
>
> All these calculations (wh. are v. interesting) presume
> that all computing
> is done in the brain. They ignore the possibility (we
Matt:I think the ratio of processing power to memory to bandwidth is just
about right for AGI.
All these calculations (wh. are v. interesting) presume that all computing
is done in the brain. They ignore the possibility (well, certainty) of
morphological computing being done elsewhere in the s
the human mind.
-- Matt Mahoney, [EMAIL PROTECTED]
--- On Thu, 6/12/08, Derek Zahn <[EMAIL PROTECTED]> wrote:
From: Derek Zahn <[EMAIL PROTECTED]>
Subject: RE: [agi] IBM, Los Alamos scientists claim fastest computer
To: agi@v2.listbox.com
Date: Thursday, June 12, 2008, 11:36 AM
> TeslasTwo things I think are interesting about these trends in
> high-performance commodity hardware:
1) The "flops/bit" ratio (processing power vs memory) is skyrocketing. The
move to parallel architectures makes the number of high-level "operations" per
transistor go up, but bits of memor
Right. You're talking Kurzweil HEPP and I'm talking Moravec HEPP (and shading
that a little).
I may want your gadget when I go to upload, though.
Josh
On Thursday 12 June 2008 10:59:51 am, Matt Mahoney wrote:
> --- On Wed, 6/11/08, J Storrs Hall, PhD <[EMAIL PROTECTED]> wrote:
>
> > Hmmph. I
--- On Wed, 6/11/08, J Storrs Hall, PhD <[EMAIL PROTECTED]> wrote:
> Hmmph. I offer to build anyone who wants one a
> human-capacity machine for
> $100K, using currently available stock parts, in one rack.
> Approx 10 teraflops, using Teslas.
> (http://www.nvidia.com/object/tesla_c870.html)
>
If anyone is interested, I have some additional information on the C870
NVIDIA Tesla card. I'll be happy to send it to you off-list. Just
contact me directly.
Cheers,
Brad
---
agi
Archives: http://www.listbox.com/member/archive/303/=now
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Hmmph. I offer to build anyone who wants one a human-capacity machine for
$100K, using currently available stock parts, in one rack. Approx 10
teraflops, using Teslas. (http://www.nvidia.com/object/tesla_c870.html)
The software needs a little work...
Josh
On Wednesday 11 June 2008 08:50:58 p
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