Experimental demonstration of multilevel resistive random access memory programming for up to two months stable neural networks inference accuracy

HIGHLIGHTS

• who: Eduardo Esmanhotto from the , M. Portal IM NP Aix-Marseille Universitu00e9 , Marseille, France D. Querlioz CNRS Centre de Nanosciences et de Nanotechnologies Universitu00e9 Paris-Saclay , Palaiseau, France have published the research work: Experimental Demonstration of Multilevel Resistive Random Access Memory Programming for up to Two Months Stable Neural Networks Inference Accuracy, in the Journal: (JOURNAL)
• what: The authors propose to solve this issue by transforming the way RRAMs are programmed. The authors focus on crossbars programmed with nine levels in the rest of the article.

SUMMARY

In contrast, conductance instability . . .

 



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