Conclusions: wrap-up, open questions and challenges

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Conclusions: wrap-up, open questions and challenges

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Author(s): Hao Yu ; Leibin Ni ; Sai Manoj Pudukotai Dinakarrao
Source: ReRAM-based Machine Learning,2021
Publication date April 2021

This book has shown a thorough study on resistive random-access memory (ReRAM)-based nonvolatile in-memory architecture towards machine learning applications from circuit level, to architecture level, and all the way to system level.

Chapter Contents:

  • 9.1 Conclusion
  • 9.2 Future work

Inspec keywords: memory architecture; resistive RAM; learning (artificial intelligence)

Other keywords: machine learning; resistive random-access memory; ReRAM-based nonvolatile in-memory architecture

Subjects: Memory circuits; Machine learning (artificial intelligence); Storage system design; Digital storage

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