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Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks , with the difference that communication is allowed between neighbouring units only. Typical applications include image processing, analyzing 3D surfaces, solving partial differential equations, reducing non-visual problems to geometric maps, modelling biological vision and other sensory-motor organs. [ edit ] CNN architecture Due to their number and variety of architectures, it is difficult to give a precise definition for a CNN processor.
Throughout the summer of 2009, FastForward Radio did a special series that they called A World Transformed , which provided an overview of the emerging technologies that are poised to radically transform our societies and ourselves in ways that are hardly imaginable. Although the audio sometimes sounds like they’re speaking through a plastic bag into a tin can attached by a string, from the bottom of a well, the interviews with some of the most knowledgeable people in the world on these topics makes listening very worthwhile.
Kudos goes out to Nick Bostrom for having his Simulation Argument (SA) featured in the New York Times today . The SA essentially states that, given the potential for posthumans to create a vast number of ancestor simulations, we should probabilistically conclude that we are in a simulation rather than the deepest reality. Most people give a little chuckle when they hear this argument for the first time. I've explained it to enough people now that I've come to expect it.