IBM develops software ecosystem for neural chips




Researchers at IBM’s research laboratories have introduced a software ecosystem ‘ that can be used to IBM’s brain chips. Those chips are modeled on the human brain, with neurons and synapses in Silicon.

The software architecture breaks with traditional programming methods and is aimed at exploiting parallel, asynchronous processes. IBM built the first chips that need to be controlled with the software already in 2011. The 256 artificial neurons in that chip through spacious interconnecting synapses driehonderduizend. The combined hardware and software project is Synapse, an abbreviation for Systems of Neuromorphic Adaptive Plastic Scalable Electronics, called. The cleverly chosen naming reveals that the project is medegefinanceerd by Darpa, the US defence organization.

The aim of the project is the development of a new generation of computers and related products, such as software and sensors, which in a more organic way. Where traditional computers are good at calculating linear problems, are things like pattern recognition more important. Traditional computers are not good at, while brain in it just excel. In addition, his brain, despite their massive parallelism with billions of neurons, very economical. The emulation of brain with supercomputers on the other hand, requires massive amounts of energy.

That should be easier with Synapse: neurons are not in traditional hardware emulated, but used silicon chips is modeled after neurons and their interconnections. The software that IBM wants to develop in his new initiative, those chips. There are small neural networks as ‘ collections ‘ would be called corelets: as brain cells or functional areas can be imitated. Can be combined into larger Corelets neural networks, which should implement scalability.

In time, a new generation of computers with IBM wants to build neural networks, consisting of ten billion neurons with hundred quadrillion synapses or interconnections exist. Those systems would not only symbolic dates as text processing, but also with sensory data as Visual stimuli coped. In Japan was recently a second brain activity of 1 percent of the human brain: simulatedprior to forty minutes super computer-time. IBM wants a realtime system build, with a volume of only two liters and an output of only 1kW.

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