Neuromorphic Algorithms on Clusters of PlayStation 3s

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Provided by: Institute of Electrical & Electronic Engineers
Topic: Big Data
Format: PDF
The brain utilizes a large collection of slow neurons operating in parallel to achieve very powerful cognitive capabilities. There has been a strong interest amongst researchers to develop large parallel implementations of cortical models on the order of animal or human brains. At this scale, the models have the potential to provide much stronger inference capabilities than current generation computing algorithms. A large domain of applications would benefit from the stronger inference capabilities including speech recognition, computer vision, textual and image content recognition, robotic control, and data mining. Several research groups are examining large scale implementations of neuron based models and cortical column based models.
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