Neuromorphic Computing Architecture tagged posts

A Neuromorphic Computing Architecture that can Run Some Deep Neural Networks More Efficiently

A neuromorphic computing architecture that can run some deep neural networks more efficiently
One of Intel’s Nahuku boards, each of which contains eight to 32 Intel Loihi neuromorphic chips. Credit: Tim Herman/Intel Corporation

As artificial intelligence and deep learning techniques become increasingly advanced, engineers will need to create hardware that can run their computations both reliably and efficiently. Neuromorphic computing hardware, which is inspired by the structure and biology of the human brain, could be particularly promising for supporting the operation of sophisticated deep neural networks (DNNs).

Researchers at Graz University of Technology and Intel have recently demonstrated the huge potential of neuromorphic computing hardware for running DNNs in an experimental setting...

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