This is likely to change the world: An overview: http://www.sciencemag.org/content/345/6197/614.full.pdf
The abstract: http://www.sciencemag.org/content/345/6197/668.abstract QQQ Inspired by the brain’s structure, we have developed an efficient, scalable, and flexible non–von Neumann architecture that leverages contemporary silicon technology. To demonstrate, we built a 5.4-billion-transistor chip with 4096 neurosynaptic cores interconnected via an intrachip network that integrates 1 million programmable spiking neurons and 256 million configurable synapses. Chips can be tiled in two dimensions via an interchip communication interface, seamlessly scaling the architecture to a cortexlike sheet of arbitrary size. The architecture is well suited to many applications that use complex neural networks in real time, for example, multiobject detection and classification. With 400-pixel-by-240-pixel video input at 30 frames per second, the chip consumes 63 milliwatts. QQQ That's 63 milliwatts, not 63 megawatts ;-) This computer consumes about 4 orders of magnitude less power than state-of-the-art supercomputers. It you have access to Science, the full article is here: http://www.sciencemag.org/content/345/6197/668.full.pdf supplemental material (many details): http://www.sciencemag.org/content/345/6197/668/suppl/DC1 If you don't subscribe to Science, you really should ;-) Edward -- You received this message because you are subscribed to the Google Groups "leo-editor" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/leo-editor. For more options, visit https://groups.google.com/d/optout.
