@cogmission1, I meant you can't do real-time multi-object recognition in a 400 by 240 pixel video stream with a SINGLE conventional microprocessor. They appear to be claiming they can do this with a SINGLE true north chip. The last sentence of their abstract:
With 400-pixel-by-240-pixel video input at 30 frames per second, the chip consumes 63 milliwatts. On Sun, Aug 10, 2014 at 9:58 AM, cogmission1 . <[email protected]> wrote: > Those are incredible numbers! > > Did you mean that this can't be done functionally or at the same power > consumption when you said...? > >> They claim it can do real-time multi-object recognition in a 400 by >> 240 pixel video stream which you can't do with a single conventional >> microprocessor... > > > I looked it up and 70mW is about what a wireless router's antenna power > consumption is... as a comparison, an iPhone uses 1560mW - so that's really > significant - definitely mobile device caliber power savings... > > > On Sun, Aug 10, 2014 at 11:06 AM, Jim Bridgewater <[email protected]> > wrote: >> >> This is a fundamentally different approach to neuromorphic computing >> than Numenta's, but it's still neuromorphic computing and that's >> awesome! >> >> The reason this report is interesting is the power consumption they >> report. Their chip consumes around 63 mW (that's milli-Watts) >> compared with a thousand times that for a conventional microprocessor. >> They claim it can do real-time multi-object recognition in a 400 by >> 240 pixel video stream which you can't do with a single conventional >> microprocessor so on tasks like this their power consumption is more >> than 1000-fold better than conventional microprocessors. >> >> Here is my fair-use quote from the paper: >> >> "At the operating point where neurons fire on average at 20 Hz and >> have 128 active synapses, the total measured power was 72 mW (at 0.775 >> V operating voltage), corre- sponding to 26 pJ per synaptic event >> (consid- ering total energy). Compared with an optimized simulator >> (25) running the exact same network on a modern general-purpose >> microprocessor, TrueNorth consumes 176,000 times less energy per event >> (supplementary section S12). Compared with a state-of-the-art >> multiprocessor neuromor- phic approach (13) (48 chips each with 18 >> micro- processors) running a similar network, TrueNorth consumes 769 >> times less energy per event (supple- mentary section S12)." >> >> On Sun, Aug 10, 2014 at 8:25 AM, cogmission1 . >> <[email protected]> wrote: >> > It seems to me the only reason to get excited about this is if the chip >> > can >> > host CLA algorithmic units...? Is this everyone else's take, or am I >> > missing >> > something? I guess the fact that people see this as a valid expenditure >> > of >> > effort brings legitimacy to HTM's but aside from that? >> > >> > David >> > >> > >> > On Sun, Aug 10, 2014 at 10:07 AM, cogmission1 . >> > <[email protected]> >> > wrote: >> >> >> >> ^__^ >> >> >> >> >> >> >> >> >> >> On Sun, Aug 10, 2014 at 9:56 AM, Jim Bridgewater <[email protected]> >> >> wrote: >> >>> >> >>> As someone who has read a lot of academic papers I can say with full >> >>> confidence that none of them are worth $20. >> >>> >> >>> On Sun, Aug 10, 2014 at 2:58 AM, cogmission1 . >> >>> <[email protected]> wrote: >> >>> > Is it worth the $20 to read the article? Is the chip something that >> >>> > could >> >>> > host a CLA? >> >>> > >> >>> > David >> >>> > >> >>> > >> >>> > On Sat, Aug 9, 2014 at 11:58 PM, Matthew Taylor <[email protected]> >> >>> > wrote: >> >>> >> >> >>> >> This project is not associated with Winfried's team or HTM. >> >>> >> >> >>> >> Sent from my MegaPhone >> >>> >> >> >>> >> On Aug 9, 2014, at 7:44 PM, "cogmission1 ." >> >>> >> <[email protected]> >> >>> >> wrote: >> >>> >> >> >>> >> Why is there no mention of Numenta? Is the algorithmic processing >> >>> >> on >> >>> >> board >> >>> >> the chip not related to HTMs at all? >> >>> >> >> >>> >> >> >>> >> >> >>> >> >> >>> >> On Sat, Aug 9, 2014 at 9:09 PM, Jim Bridgewater >> >>> >> <[email protected]> >> >>> >> wrote: >> >>> >>> >> >>> >>> I'm guessing it's a different team since Winfried is not on their >> >>> >>> Science paper >> >>> >>> http://www.sciencemag.org/content/345/6197/668.abstract >> >>> >>> nor is he in the photograph in the article you linked to. In >> >>> >>> addition >> >>> >>> to that their computer uses spikes for inputs and outputs and >> >>> >>> Winfried >> >>> >>> has been a skeptic of that approach in the past, I believe it was >> >>> >>> in >> >>> >>> one of the videos from the conference at Sandia this spring that I >> >>> >>> heard him voice this opinion. If that's true then IBM has at >> >>> >>> least >> >>> >>> two teams working on this which is great. >> >>> >>> >> >>> >>> >> >>> >>> >> >>> >>> On Sat, Aug 9, 2014 at 6:46 PM, Erik Blas <[email protected]> >> >>> >>> wrote: >> >>> >>> > I wonder if Winfried is working with this team? >> >>> >>> > http://www.research.ibm.com/articles/brain-chip.shtml >> >>> >>> > >> >>> >>> > Programming language for the architecture: >> >>> >>> > >> >>> >>> > >> >>> >>> > >> >>> >>> > https://dl.dropboxusercontent.com/u/91714474/Papers/020.IJCNN2013.Corelet.pdf >> >>> >>> > >> >>> >>> > I'm excited to see the idea of using a collection of prediction >> >>> >>> > cores >> >>> >>> > as >> >>> >>> > primitives to build with, an idea I've bantered around with some >> >>> >>> > (though >> >>> >>> > I've been fixated on the primitive being an abstraction for >> >>> >>> > brookes >> >>> >>> > modules >> >>> >>> > informed by nupic predictions and the inputs passed into the >> >>> >>> > models >> >>> >>> > for >> >>> >>> > said >> >>> >>> > predictions). Exciting times are ahead! >> >>> >>> > >> >>> >>> > _______________________________________________ >> >>> >>> > nupic mailing list >> >>> >>> > [email protected] >> >>> >>> > >> >>> >>> > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> >>> >>> > >> >>> >>> >> >>> >>> >> >>> >>> >> >>> >>> -- >> >>> >>> James Bridgewater, PhD >> >>> >>> Arizona State University >> >>> >>> 480-227-9592 >> >>> >>> >> >>> >>> _______________________________________________ >> >>> >>> nupic mailing list >> >>> >>> [email protected] >> >>> >>> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> >>> >> >> >>> >> >> >>> >> _______________________________________________ >> >>> >> nupic mailing list >> >>> >> [email protected] >> >>> >> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> >>> >> >> >>> >> >> >>> >> _______________________________________________ >> >>> >> nupic mailing list >> >>> >> [email protected] >> >>> >> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> >>> >> >> >>> > >> >>> > >> >>> > _______________________________________________ >> >>> > nupic mailing list >> >>> > [email protected] >> >>> > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> >>> > >> >>> >> >>> >> >>> >> >>> -- >> >>> James Bridgewater, PhD >> >>> Arizona State University >> >>> 480-227-9592 >> >>> >> >>> _______________________________________________ >> >>> nupic mailing list >> >>> [email protected] >> >>> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> >> >> >> >> > >> > >> > _______________________________________________ >> > nupic mailing list >> > [email protected] >> > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> > >> >> >> >> -- >> James Bridgewater, PhD >> Arizona State University >> 480-227-9592 >> >> _______________________________________________ >> nupic mailing list >> [email protected] >> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > > > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > -- James Bridgewater, PhD Arizona State University 480-227-9592 _______________________________________________ nupic mailing list [email protected] http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
