Compass set the direction, DeepSouth defines the Brain-inspired Intelligence

Brain-inspired Neuromorphic Chip – DeepSouth

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Break the Von Neumann Architecture completely

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Third generation of SNN, spiking neural network

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The spiking neural network with complete algorithm is based on STDP(spike-time-dependent plasticity)

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Brain-inspired chips implement electric circuit to simulate spiking neural network. The chips can simulate as much as 50 million neurons by the dynamic distribution way.

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The neuromorphic chip can teach, train and enhance itself with high level of integration, of which template is easy to change, and eventually solve complex artificial intelligence problem.

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The power consumption is only a small percentage of the consumption from traditional chips.

On-Chip online learning make learning no longer one choice among tasks, but a grasp of all.

Deep Learning Brain-inspired Neuron Chips – DeepWell

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Break the Von Neumann Architecture completely

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A general intelligence chip to process pattern recognition

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Can learn and adjust the priority between neurons based on the OPIUM lite.

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here are 12.8 million neurons in one chip and can be distributed by specialized instructions.

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It is the first time to achieve Binary Neural Network by on-chip online learning.

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It is much more efficient to learn and recognize than running on general hardware such as CPU, GPU in a traditional way such as CNN while the consumption is much lower.