The Beauty of Imperfection : Exploring robustness in Artificial Synapses

Artificial synapses are not affected by imperfection

A trio of Chinese researchers has developed a platform for artificial intelligence that is far more robust than current architectures. They used a strategy to mimic the encoding information in our brains. The approach has not yet been implemented in the laboratory, but it exploits the non-uniformity that is inherent in artificial neurons as a result from defects in magnetic materials.

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Zhe Yuan and Ya Qiao, from the Department of Physics and Center for Advanced Quantum Studies at Beijing Normal University, conducted this research.


Imperfection is not a problem for artificial synapses