"NNUE" meaning in English

{
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        "2": "Yu Nasu",
        "in": "2018",
        "nat": "Japanese",
        "occ": "computer scientist",
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      "expansion": "Coined by Japanese computer scientist Yu Nasu in 2018",
      "name": "coinage"
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  ],
  "etymology_text": "Coined by Japanese computer scientist Yu Nasu in 2018 as an inversion of \"Efficiently Updateable Neural Network\" (stylized as ƎUИИ).",
  "forms": [
    {
      "form": "NNUEs",
      "tags": [
        "plural"
      ]
    }
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    {
      "args": {},
      "expansion": "NNUE (plural NNUEs)",
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  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
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        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [],
          "source": "w"
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        {
          "kind": "other",
          "langcode": "en",
          "name": "Computer chess",
          "orig": "en:Computer chess",
          "parents": [],
          "source": "w"
        }
      ],
      "glosses": [
        "A type of neural network able to run on a CPU, trained to evaluate a board game (usually chess or shogi) position."
      ],
      "id": "en-NNUE-en-noun-St4vjh5F",
      "links": [
        [
          "computer chess",
          "computer chess"
        ],
        [
          "neural network",
          "neural network#Noun"
        ],
        [
          "CPU",
          "central processing unit#Noun"
        ],
        [
          "evaluate",
          "evaluate#Noun"
        ],
        [
          "board game",
          "board game#Noun"
        ],
        [
          "chess",
          "chess#Noun"
        ],
        [
          "shogi",
          "shogi#Noun"
        ],
        [
          "position",
          "position#Noun"
        ]
      ],
      "raw_glosses": [
        "(computer chess) A type of neural network able to run on a CPU, trained to evaluate a board game (usually chess or shogi) position."
      ],
      "topics": [
        "board-games",
        "chess",
        "computer",
        "computing",
        "engineering",
        "games",
        "mathematics",
        "natural-sciences",
        "physical-sciences",
        "sciences"
      ]
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  ],
  "word": "NNUE"
}

{
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    {
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        "2": "Yu Nasu",
        "in": "2018",
        "nat": "Japanese",
        "occ": "computer scientist",
        "w": "-"
      },
      "expansion": "Coined by Japanese computer scientist Yu Nasu in 2018",
      "name": "coinage"
    }
  ],
  "etymology_text": "Coined by Japanese computer scientist Yu Nasu in 2018 as an inversion of \"Efficiently Updateable Neural Network\" (stylized as ƎUИИ).",
  "forms": [
    {
      "form": "NNUEs",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "NNUE (plural NNUEs)",
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  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
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        "English nouns",
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        "Pages with 1 entry",
        "Pages with entries",
        "en:Computer chess"
      ],
      "glosses": [
        "A type of neural network able to run on a CPU, trained to evaluate a board game (usually chess or shogi) position."
      ],
      "links": [
        [
          "computer chess",
          "computer chess"
        ],
        [
          "neural network",
          "neural network#Noun"
        ],
        [
          "CPU",
          "central processing unit#Noun"
        ],
        [
          "evaluate",
          "evaluate#Noun"
        ],
        [
          "board game",
          "board game#Noun"
        ],
        [
          "chess",
          "chess#Noun"
        ],
        [
          "shogi",
          "shogi#Noun"
        ],
        [
          "position",
          "position#Noun"
        ]
      ],
      "raw_glosses": [
        "(computer chess) A type of neural network able to run on a CPU, trained to evaluate a board game (usually chess or shogi) position."
      ],
      "topics": [
        "board-games",
        "chess",
        "computer",
        "computing",
        "engineering",
        "games",
        "mathematics",
        "natural-sciences",
        "physical-sciences",
        "sciences"
      ]
    }
  ],
  "word": "NNUE"
}