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    "id": "ef-37-1",
    "type": "article-journal",
    "title": "Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations",
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      {
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        "family": "Gokmen"
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      {
        "given": "Yurii",
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    "container-title": "Frontiers in Neuroscience",
    "issued": {
      "date-parts": [
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          2016
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      ]
    },
    "DOI": "10.3389/fnins.2016.00333",
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    "title": "Equivalent-accuracy accelerated neural-network training using analogue memory",
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      {
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      {
        "given": "Robert M.",
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      {
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      {
        "given": "Nathan C. P.",
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      {
        "given": "Benjamin",
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      {
        "given": "Christina",
        "family": "Cheng"
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      {
        "given": "Yassine",
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      {
        "given": "Geoffrey W.",
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    "container-title": "Nature",
    "issued": {
      "date-parts": [
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          2018
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      ]
    },
    "DOI": "10.1038/s41586-018-0180-5",
    "URL": "https://doi.org/10.1038/s41586-018-0180-5"
  },
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    "type": "article-journal",
    "title": "A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference",
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      {
        "given": "Manuel",
        "family": "Le Gallo"
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      {
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        "given": "Silvia M.",
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        "family": "Timoneda"
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      {
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      {
        "given": "Victor",
        "family": "Chan"
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      {
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        "family": "Silvestre"
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      {
        "given": "Ishtiaq",
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      {
        "given": "Nicole",
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    ],
    "container-title": "Nature Electronics",
    "issued": {
      "date-parts": [
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          2023
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    },
    "DOI": "10.1038/s41928-023-01010-1",
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