NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars

Research article (IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021) · cited 29× · AI/ML
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NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars

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NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars. Retrieved May 24, 2026, from https://4ort.xyz/entity/neat-nonlinearity-aware-training-for-accurate-energy-efficient-and-robust-implementation-of-neural-networks-on-1t-1r-cro
MLA “NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/neat-nonlinearity-aware-training-for-accurate-energy-efficient-and-robust-implementation-of-neural-networks-on-1t-1r-cro.
BibTeX @misc{4ortxyz_neat-nonlinearity-aware-training-for-accurate-energy-efficient-and-robust-implementation-of-neural-networks-on-1t-1r-cro_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars}}, year = {2026}, url = {https://4ort.xyz/entity/neat-nonlinearity-aware-training-for-accurate-energy-efficient-and-robust-implementation-of-neural-networks-on-1t-1r-cro}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars — https://4ort.xyz/entity/neat-nonlinearity-aware-training-for-accurate-energy-efficient-and-robust-implementation-of-neural-networks-on-1t-1r-cro (retrieved 2026-05-24)

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