Human Brain Project, Intel Work Together to Advance Neuromorphic Technology

#artificialintelligence 

To achieve this, the researchers link two types of deep learning networks. The feedback neuronal networks are responsible for "short-term memory," and recurrent modules filter out possible relevant information from the input signal and store it. A feed-forward network determines which of the relationships found are important for solving the current task. Relationships that are meaningless are filtered out, and the neurons only fire in those modules where relevant information has been found. This entire process is what leads to dramatic energy savings.

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