Neuro-Inspired Computing With Emerging Nonvolatile Memorys
By Shimeng Yu. Proceedings of the IEEE, 2018
811 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/6b59bfd257155c4f6f7e4f573c892b2371651fe6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Electrical and Electronic Engineering
Citations in the corpus
- Memristive technologies for data storage, computation, encryption, and radio-frequency communication (2022, background): “However, device-related challenges to performing precise weight updates need to be identified and overcome to obtain softwareequivalent training accuracy with this approach (62).”
- Thousands of conductance levels in memristors integrated on CMOS (2023, background): “13, incomplete channels are consistently observed in a C-AFM scan whenever RTN is observed.”
- Logic-in-Memory Based on an Atomically Thin Semiconductor (2020, neutral): “Therefore, in the search of the most efficient solution, next-generation architectures have been an important subject of research 16–19 .”