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Conclusions: wrap-up, open questions and challenges

Conclusions: wrap-up, open questions and challenges

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ReRAM-based Machine Learning — Recommend this title to your library

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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; Storage system design; Digital storage

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