Cluster Of Smartphone Chips To Emulate 1 Billion Neuron Brain.
New Scientist (5/4, Marks) reported that Steve Furber, a computer engineer at the University of Manchester, is planning a "1-billion-neuron silicon brain" made from low-cost microchips. Furber argues "that if we want to use computers with even a fraction of a brain's flexibility, we need to start with affordable, practical, low-power components." Some experts say he "won't come close to copying every property of real neurons," but "that's good enough for Furber, who wants to start teaching his brain-like computer about the world as soon as possible." He plans to start by teaching it to use a robotic arm. "Others are working with hardware which may have greater potential," the article adds, noting a DARPA-funded project at the University of Michigan at Ann Arbor where researcher Wei Lu "is working on a way of providing synaptic weights with memristors."
Popular Science (5/4, Dillow) reports Furber is "probably best known for his work on the BBC Micro and ARM microprocessors." His design for the Spiking Neural Network Architecture, or Spinnaker, calls for "50,000 total chips at minimum to reach the 1-billion-neuron goal." Each chip "will contain 20 ARM processing cores, each of which can model 1,000 neurons."
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