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IBM's Billion-Neuron Simulation Can Match a Cat's Brainpower

IBM's new artificial brain simulation uses a brain-simulating algorithm to mimic feline brain power with over a billion neurons.

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An artificial brain as powerful as a human's remains a distant goal, but scientists are inching closer. This week IBM announced that by using a brain-simulating algorithm called BlueMatter, researchers created an artificial brain simulation that packs more brainpower than a cat.

Researchers used an IBM supercomputer at the Lawrence Livermore Lab to model the movement of data through a structure with 1 billion neurons and 10 trillion synapses, which allowed them to see how information "percolates" through a system that's comparable to a feline cerebral cortex [San Jose Mercury News]

. The team's previous effort two years ago, modeled after a rat brain, simulated only about 55 million neurons. The staggering surge in computing power has engineers like IBM's Dharmendra Modha drooling over the possibilities for more brain-like computers.

By reverse engineering [the] cortical structure, Modha says, researchers could give machines the ability to interpret biological senses such as ...

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