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Fault-Tolerant RRAM in Neuromorphic Systems by 2veeravignesh395 is a document available to read on EtoBox.

The document discusses the design of fault-tolerant neuromorphic computing systems, particularly focusing on Resistive Random Access Memory (RRAM) and its implementation in neuromorphic computing. It highlights the energy efficiency and computational advantages of RRAM-based systems while addressing their susceptibility to defects and the necessity for fault tolerance. The paper reviews recent advancements in fault-tolerant designs, including a framework for online testing and fault-tolerant training phases

Author
2veeravignesh395
Language
EN