Re: [agi] NVIDIA GPU's

2007-06-22 Thread Russell Wallace
I just realized what this reminds me of. Anyone remember the Intel 860 from a couple of decades ago? A team of engineers dumped backward compatibility and inefficient traditional design and went for pure blazing speed, and boy did they get it, the supercomputer on a desk marketing bumf was

Re: [agi] NVIDIA GPU's

2007-06-22 Thread J Storrs Hall, PhD
BTW, the CUDA toolkit for programming the GPU's is developing rapidly (and is still in beta). here are memory bandwidths actually measured on my machine: CUDA version 0.8: Host to Device Bandwidth for Pinned memory Transfer Size (Bytes) Bandwidth(MB/s) 33554432 1647.6 Device

Re: [agi] NVIDIA GPU's

2007-06-22 Thread Bo Morgan
That's 53.8 GB/s for a load of 33.6 MB? Is there a burst cache effect going on here or do you think that's sustainable for multiple seconds? Bo On Fri, 22 Jun 2007, J Storrs Hall, PhD wrote: ) BTW, the CUDA toolkit for programming the GPU's is developing rapidly (and is ) still in beta).

Re: [agi] NVIDIA GPU's

2007-06-22 Thread J Storrs Hall, PhD
On Friday 22 June 2007 11:22:19 am Bo Morgan wrote: That's 53.8 GB/s for a load of 33.6 MB? Is there a burst cache effect going on here or do you think that's sustainable for multiple seconds? Bo ./bandwidthTest --mode=range --dtod --start=1000 --end=2 --increment=1000

[agi] AGI introduction

2007-06-22 Thread Pei Wang
Hi, I put a brief introduction to AGI at http://nars.wang.googlepages.com/AGI-Intro.htm , including an AGI Overview followed by Representative AGI Projects. It is basically a bunch of links and quotations organized according to my opinion. Hopefully it can help some newcomers to get a big

Re: [agi] AGI introduction

2007-06-22 Thread Lukasz Stafiniak
On 6/22/07, Pei Wang [EMAIL PROTECTED] wrote: Hi, I put a brief introduction to AGI at http://nars.wang.googlepages.com/AGI-Intro.htm , including an AGI Overview followed by Representative AGI Projects. Thanks! As a first note, SAIL seems to me a better replacement for Cog, because SAIL has

Re: [agi] AGI introduction

2007-06-22 Thread Mike Tintner
Pei: I put a brief introduction to AGI at http://nars.wang.googlepages.com/AGI-Intro.htm , including an AGI Overview followed by Representative AGI Projects. Very helpful. Thankyou. - This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options,

[agi] Association for Uncertainty in Artificial Intelligence

2007-06-22 Thread Lukasz Stafiniak
Looking through Wikipedia articles I stumbled upon a probably very interesting place: http://www.auai.org/ Association for Uncertainty in Artificial Intelligence - This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to:

[agi] Reinforcement Learning: An Introduction Richard S. Sutton and Andrew G. Barto

2007-06-22 Thread Lukasz Stafiniak
Obligatory reading: http://www.cs.ualberta.ca/~sutton/book/ebook/the-book.html Cheers. - This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?member_id=231415user_secret=e9e40a7e

Re: [agi] AGI introduction

2007-06-22 Thread Pei Wang
On 6/22/07, Lukasz Stafiniak [EMAIL PROTECTED] wrote: As a first note, SAIL seems to me a better replacement for Cog, because SAIL has much generality and some theoretical accomplishment where Cog is (AFAIK) hand-crafted engineering. In many aspects, I agree that SAIL is more interesting than

Re: [agi] Reinforcement Learning: An Introduction Richard S. Sutton and Andrew G. Barto

2007-06-22 Thread Bo Morgan
You make AGI sound like a members only club by this obligatory comment. ;) Reinforcement learning is a simple theory that only solves problems for which we can design value functions. We need some good readings about how to organize better programs. Books on how to program large complicated

Re: [agi] Reinforcement Learning: An Introduction Richard S. Sutton and Andrew G. Barto

2007-06-22 Thread Lukasz Stafiniak
On 6/23/07, Bo Morgan [EMAIL PROTECTED] wrote: Reinforcement learning is a simple theory that only solves problems for which we can design value functions. But it is good for AGI newbies like me to start with :-) - This list is sponsored by AGIRI: http://www.agiri.org/email To