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Reducing AI energy consumption with on-chip training ... - eeNews Europe

Retrieved on: 2024-07-21 15:22:08

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Summary

The article discusses a neuromorphic engineering breakthrough in reducing AI energy consumption via on-chip training developed by researchers in the Netherlands. The concept is intricately tied to computational neuroscience, artificial neural networks, electrical engineering, and AI applications, particularly in neuromorphic chips using memristors and the backpropagation algorithm.

Article found on: www.eenewseurope.com

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