Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks

Research article (2019 IEEE International Electron Devices Meeting (IEDM), 2019) · cited 73× · AI/ML
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Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks

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Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/reducing-the-impact-of-phase-change-memory-conductance-drift-on-the-inference-of-large-scale-hardware-neural-networks
MLA “Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reducing-the-impact-of-phase-change-memory-conductance-drift-on-the-inference-of-large-scale-hardware-neural-networks.
BibTeX @misc{4ortxyz_reducing-the-impact-of-phase-change-memory-conductance-drift-on-the-inference-of-large-scale-hardware-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/reducing-the-impact-of-phase-change-memory-conductance-drift-on-the-inference-of-large-scale-hardware-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks — https://4ort.xyz/entity/reducing-the-impact-of-phase-change-memory-conductance-drift-on-the-inference-of-large-scale-hardware-neural-networks (retrieved 2026-05-24)

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