{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-23T06:40:50.084Z","headline":"上海科学智能研究院开放科学多模态基础模型\"神珍\"","description":"上海科学智能研究院开放科学多模态基础模型\"神珍\"，总参数约110亿，可处理DNA、RNA、蛋白质、小分子、地球系统和医学影像六类数据。在生物序列20项任务中，该模型9项取得最优结果；医学影像分割平均Dice得分91.20，在7种参评方法中最优。模型权重及代码已在星河启智、Hugging 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模型\"神珍\"开放，能处理蛋白质、天气等六类科学信息","summary":"上海科学智能研究院开放科学多模态基础模型\"神珍\"，总参数约110亿，可处理DNA、RNA、蛋白质、小分子、地球系统和医学影像六类数据。在生物序列20项任务中，该模型9项取得最优结果；医学影像分割平均Dice得分91.20，在7种参评方法中最优。模型权重及代码已在星河启智、Hugging Face和GitHub开放。","source":"IT之家（RSS）","sourceUrl":"https://www.ithome.com/0/979/017.htm","aiHotUrl":"https://aihot.virxact.com/items/cmrsxb09d0098bitl4vd2rp04","publishedAt":"2026-07-20T07:00:15.000Z","category":"模型更新","score":70,"selected":true,"articleBody":["IT之家：https://www.ithome.com/ 7 月 20 日消息，据上海科学智能研究院官方微信公众号消息，近日，上海科学智能研究院（下称“上智院”）开放科学多模态基础模型“神珍”（Monkey King Bang, MKB）。模型总参数约 110 亿，面向 DNA、RNA、蛋白质、小分子、地球系统和医学影像六类科学数据，在一个统一模型中支持科学理解与多类结果生成。在扩展科学能力的同时，模型在相关评测中整体保持了基础模型的文本与通用图像能力。","据IT之家了解，在科学智能（AI for Science）领域，蛋白质、分子、气象和医学影像等方向已形成一批性能出色的专用模型。但不同科学对象背后的规律并不相同：序列强调前后依赖，分子强调原子之间的连接，气象场强调时空演化，医学影像强调局部结构。如何既保留这些差异，又让一个模型学习其中可共享的规律，并同时支持科学理解与结果生成，仍是科学智能基础模型需要回答的问题。“神珍”正是对这一问题的一次系统探索。","“神珍”以 Qwen3-VL-8B 为共享主干，为六类科学数据设置专门的数据处理通路。区别于把所有数据转换成同一种格式，“神珍”在进入共享模型前，分别保留序列的先后关系、分子的连接结构、气象场的空间分布和医学影像的局部细节。蛋白质和核酸仍按序列处理，小分子仍按结构处理，气象数据仍保留空间分布，医学影像仍保留图像细节。这些能力被集成在同一个模型中，使用时按任务调用相应功能。除文本回答外，“神珍”还能直接生成 RNA 序列、可供计算机读取的分子表示（SMILES）、全球气象场和医学影像分割结果。","在约 110 亿参数的规模下，“神珍”在生物序列、小分子、气象和医学影像等任务中展现出竞争力。在覆盖 DNA、RNA、蛋白质以及不同生物序列关系判断的 20 项任务中，“神珍”有 9 项取得三款参评模型中的最优结果，17 项位列前二。逐项比较，“神珍”在 16 项任务上得分高于同量级的 Biology-Instructions；与总参数约 1 万亿的 Intern-S1-Pro 相比，两款模型各在 10 项任务上得分更高。这组结果表明，参数规模并不是衡量科学模型能力的唯一维度；如何面向不同科学对象设计有效的建模方式，是科学基础模型仍需持续探索的问题。","小分子：在公开基准 SMolInstruct 的 6 项小分子属性理解任务中，“神珍”在三款参评模型中有 4 项取得或并列取得最优结果。","气象：在离线评测中，给定一帧初始大气场，模型每 6 小时滚动预报一步，持续推演至第 10 天；在第 10 天的预报中，500hPa 位势高度、2 米温度、海平面气压等多项指标达到或优于业务级数值预报的水平。","医学影像分割：在覆盖 CT、MRI、病理等九种影像模态、逾十万个图文样本的评测中，“神珍”衡量预测区域与人工标注重合程度的平均 Dice 得分为 91.20，在 7 种参评方法中最优。分 9 类影像看，5 类排名第一，其余 4 类排名第二。","“神珍”将四类代表性能力汇集在同一个统一模型中：理解生物序列，预测小分子性质或生成 SMILES，滚动生成最长 10 天的全球气象场，以及根据文字提示完成医学影像分割。不同任务会调用相应的处理组件，但共享同一模型主干和联合训练的权重，研究者无需在多个彼此独立的领域模型之间切换。","对科学模型的开发共享而言，开放权重只是第一步。是否同时提供可运行的代码、示例和清晰的输入输出说明，也会直接影响模型能否被验证和复用。此次发布同步提供模型权重、推理代码、示例脚本、输入说明和使用文档，并补充气象预报与医学影像分割所需的配置，支持研究者开展本地部署或接入已有科研流程。","研究者可以通过星河启智科学智能开放平台下载模型或调用 API，与平台汇聚的 1500 余个科学模型和工具一起组合与再创造；也可在 Hugging Face 下载模型权重，在 GitHub 获取推理代码和示例。","作为今年 3 月初面世的系统级科研智能体“大圣”的超级大脑，“神珍”之名，取意于《西游记》中的“天河定底神珍铁”。团队希望这套开放模型以相对精炼的形态承载多样的科学任务，也让更多研究者参与检验、使用与共建。"],"articleImages":[{"sourceUrl":"https://img.ithome.com/newsuploadfiles/2026/7/ea73a829-c8af-4e5a-8126-dcfaf475c959.png?x-bce-process=image/format,f_auto","alt":"图片","afterParagraph":2,"url":"/media/articles/cmrsxb09d0098bitl4vd2rp04/2a302df6e99fc904.png"},{"sourceUrl":"https://img.ithome.com/newsuploadfiles/2026/7/f62da2b1-22cd-43b0-be6b-e0b76f3d60d4.png?x-bce-process=image/format,f_auto","alt":"图片","afterParagraph":3,"url":"/media/articles/cmrsxb09d0098bitl4vd2rp04/b35da58b59ef1749.png"},{"sourceUrl":"https://img.ithome.com/newsuploadfiles/2026/7/7d6343ef-9f3a-4da0-a1df-e31f66fdd579.png?x-bce-process=image/format,f_auto","alt":"图片","afterParagraph":4,"url":"/media/articles/cmrsxb09d0098bitl4vd2rp04/bff642683a5b8892.png"},{"sourceUrl":"https://img.ithome.com/newsuploadfiles/2026/7/15471ba2-af58-42c4-a59f-15da44d0dd11.png?x-bce-process=image/format,f_auto","alt":"图片","afterParagraph":5,"url":"/media/articles/cmrsxb09d0098bitl4vd2rp04/081b8d0dd4bfa5aa.png"},{"sourceUrl":"https://img.ithome.com/newsuploadfiles/2026/7/0d5d3d62-8cd9-426b-894a-fb02fa345438.png?x-bce-process=image/format,f_auto","alt":"图片","afterParagraph":6,"url":"/media/articles/cmrsxb09d0098bitl4vd2rp04/8fb236f12df8dcf8.png"},{"sourceUrl":"https://img.ithome.com/newsuploadfiles/2026/7/04cb39f3-7f8c-4137-ac94-4c3fbb985a1c.jpg?x-bce-process=image/format,f_auto","alt":"图片","afterParagraph":10,"url":"/media/articles/cmrsxb09d0098bitl4vd2rp04/feed4307d90ca539.jpg"}],"mediaStatus":"ok","articleBodyZh":[],"translationStatus":"","bodyOrigin":"source-page","editorial":{"summary":"据IT之家转述上海科学智能研究院官方消息，科学多模态基础模型“神珍”已开放。模型约110亿参数，统一处理六类科学数据，并在生物序列、小分子、气象和医学影像评测中展示结果。","background":"现有科学智能研究常按蛋白质、分子、气象和医学影像等对象建设专用模型。“神珍”以Qwen3-VL-8B为共享主干，为不同数据设置专门处理通路，以保留序列、结构、空间分布和图像细节。","viewpoint":"Aioga判断，“神珍”的主要看点不是单项榜单成绩，而是用共享主干和联合训练权重整合多类科学任务。其评测显示统一建模具有探索价值，但材料未提供独立复测结果，暂不宜据此推断普遍领先。","implications":"模型权重及代码已在多个平台开放，可能降低研究者检验统一科学模型的门槛。值得关注的是，气象结果来自离线评测，医学影像和生物序列成绩也受参评方法、数据集及评价设置约束。","nextStep":"后续应重点核查公开代码与权重是否足以复现实验，并比较各项评测的数据划分、基线选择和计算成本。气象预报的业务适用性、医学影像分割的跨机构表现，也需要更多独立验证。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-07-23T00:29:52.184Z","sourceHash":"325f0c0e6ee4c7bb","review":{"approved":true,"groundedness":95,"clarity":91,"duplicationRisk":10,"blockingIssues":[],"notes":["“Aioga判断”中的“Aioga”未在来源材料中出现，若其为编辑方或栏目名称，建议确认读者能够识别；这属于清晰度问题，不构成事实性阻断。","“可能降低研究者检验统一科学模型的门槛”属于合理推测，候选内容已用“可能”限定，没有将其表述为既成事实。","候选内容对评测局限和独立验证需求的表述属于审慎分析，与来源材料不冲突。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["模型更新","IT之家（RSS）"],"translations":{"zh-CN":{"title":"上海科学智能研究院开放科学多模态基础模型\"神珍\"","summary":"上海科学智能研究院开放科学多模态基础模型\"神珍\"，总参数约110亿，可处理DNA、RNA、蛋白质、小分子、地球系统和医学影像六类数据。在生物序列20项任务中，该模型9项取得最优结果；医学影像分割平均Dice得分91.20，在7种参评方法中最优。模型权重及代码已在星河启智、Hugging Face和GitHub开放。","category":"模型更新","source":"IT之家","aggregationSource":"IT之家（RSS）","pageTitle":"上海科学智能研究院开放科学多模态基础模型\"神珍\" - Aioga AI资讯","description":"上海科学智能研究院开放科学多模态基础模型\"神珍\"，总参数约110亿，可处理DNA、RNA、蛋白质、小分子、地球系统和医学影像六类数据。在生物序列20项任务中，该模型9项取得最优结果；医学影像分割平均Dice得分91.20，在7种参评方法中最优。模型权重及代码已在星河启智、Hugging Face和GitHub开放。","url":"https://www.aioga.com/news/cmrsxb09d0098bitl4vd2rp04/"},"en":{"title":"Shanghai Institute of Scientific Intelligence Open Science Multimodal Foundation Model 'Shenzhen'","summary":"The Shanghai Institute of Science and Intelligence Research's open science multimodal foundational model 'Shenzhen', with a total of approximately 11 billion parameters, can handle six types of data: DNA, RNA, proteins, small molecules, Earth systems, and medical imaging. In 20 biological sequence tasks, the model achieved the best results in 9 tasks; for medical image segmentation, the average Dice score was 91.20, the highest among 7 evaluated methods. The model weights and code have been made available on Xinghe Qizhi, Hugging Face, and GitHub.","category":"Models","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Shanghai Institute of Scientific Intelligence Open Science Multimodal Foundation Model 'Shenzhen' - Aioga AI News","description":"The Shanghai Institute of Science and Intelligence Research's open science multimodal foundational model 'Shenzhen', with a total of approximately 11 billion parameters, can handle...","url":"https://www.aioga.com/en/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:25:14.140Z"},"ja":{"title":"上海科学智能研究院オープンサイエンス多モーダル基盤モデル「神珍」","summary":"上海科学智能研究院は、オープンサイエンスマルチモーダル基礎モデル「神珍」を公開しました。総パラメータは約110億で、DNA、RNA、タンパク質、小分子、地球システム、医療画像の6種類のデータを処理できます。生物配列に関する20のタスクのうち、このモデルは9つで最良の結果を達成しました。医療画像のセグメンテーションにおける平均Diceスコアは91.20で、7つの競合手法の中で最良でした。モデルの重みとコードは、星河启智、Hugging Face、GitHubで公開されています。","category":"モデル更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"上海科学智能研究院オープンサイエンス多モーダル基盤モデル「神珍」 - Aioga AIニュース","description":"上海科学智能研究院は、オープンサイエンスマルチモーダル基礎モデル「神珍」を公開しました。総パラメータは約110億で、DNA、RNA、タンパク質、小分子、地球システム、医療画像の6種類のデータを処理できます。生物配列に関する20のタスクのうち、このモデルは9つで最良の結果を達成しました。医療画像のセグメンテーションにおける平均Diceスコアは91.20で、7つ...","url":"https://www.aioga.com/ja/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:25:34.173Z"},"ko":{"title":"상하이 과학 지능 연구원 개방 과학 다중 모달 기초 모델 '신진'","summary":"상하이과학지능연구원은 과학 다중모달 기초 모델 \"신진\"을 공개했으며, 총 파라미터 수는 약 110억으로 DNA, RNA, 단백질, 소분자, 지구 시스템 및 의료 이미지를 포함한 여섯 가지 데이터를 처리할 수 있습니다. 생물 시퀀스 20개 과제 중, 이 모델은 9개 과제에서 최적 결과를 달성했습니다; 의료 이미지 분할 평균 Dice 점수는 91.20으로 7가지 평가 방법 중 최상입니다. 모델 가중치와 코드가 성하지지, Hugging Face 및 GitHub에 공개되었습니다.","category":"모델 업데이트","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"상하이 과학 지능 연구원 개방 과학 다중 모달 기초 모델 '신진' - Aioga AI 뉴스","description":"상하이과학지능연구원은 과학 다중모달 기초 모델 \"신진\"을 공개했으며, 총 파라미터 수는 약 110억으로 DNA, RNA, 단백질, 소분자, 지구 시스템 및 의료 이미지를 포함한 여섯 가지 데이터를 처리할 수 있습니다. 생물 시퀀스 20개 과제 중, 이 모델은 9개 과제에서 최적 결과를 달성했습니다; 의료 이미지 분할 평균...","url":"https://www.aioga.com/ko/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:26:18.915Z"},"es":{"title":"Modelo básico multimodal de ciencia abierta del Instituto de Investigación de Ciencia e Inteligencia de Shanghai 'Shenzhen'","summary":"El \"Zhencen\" del Instituto de Investigación de Ciencia e Inteligencia de Shanghái es un modelo multimodal básico de ciencia abierta, con un total de aproximadamente 11 mil millones de parámetros, capaz de procesar seis tipos de datos: ADN, ARN, proteínas, pequeñas moléculas, sistema terrestre e imágenes médicas. En 20 tareas de secuencias biológicas, este modelo obtuvo los mejores resultados en 9 de ellas; la segmentación de imágenes médicas alcanzó un puntaje Dice promedio de 91.20, siendo el mejor entre 7 métodos evaluados. Los pesos del modelo y el código han sido abiertos en Xinghe Qizhi, Hugging Face y GitHub.","category":"Modelos","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Modelo básico multimodal de ciencia abierta del Instituto de Investigación de Ciencia e Inteligencia de Shanghai 'Shenzhen' - Aioga Noticias de IA","description":"El \"Zhencen\" del Instituto de Investigación de Ciencia e Inteligencia de Shanghái es un modelo multimodal básico de ciencia abierta, con un total de aproximadamente 11 mil millones...","url":"https://www.aioga.com/es/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:26:15.634Z"},"fr":{"title":"Institut de recherche en sciences et intelligence de Shanghai Modèle de base multimodal en sciences ouvertes \"Shenzhen\"","summary":"L'\"Institut de Recherche en Sciences et Intelligence de Shanghai\" a ouvert le modèle de base multimodal scientifique \"Shenzhen\", avec un total d'environ 11 milliards de paramètres, capable de traiter six types de données : ADN, ARN, protéines, petites molécules, systèmes terrestres et imagerie médicale. Sur 20 tâches de séquences biologiques, ce modèle a obtenu les meilleurs résultats sur 9 d'entre elles ; pour la segmentation d'images médicales, le score Dice moyen est de 91,20, le meilleur parmi les 7 méthodes évaluées. Les poids et le code du modèle ont été rendus publics sur Xinghe Qizhi, Hugging Face et GitHub.","category":"Modèles","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Institut de recherche en sciences et intelligence de Shanghai Modèle de base multimodal en sciences ouvertes \"Shenzhen\" - Aioga Actualités IA","description":"L'\"Institut de Recherche en Sciences et Intelligence de Shanghai\" a ouvert le modèle de base multimodal scientifique \"Shenzhen\", avec un total d'environ 11 milliards de paramètres,...","url":"https://www.aioga.com/fr/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:27:08.477Z"},"de":{"title":"Shanghai Wissenschaftliches Intelligentes Forschungsinstitut Offenes Wissenschaftliches Multimodales Grundmodell \"Shenzhen\"","summary":"Das Shanghai Institute of Science and Intelligence Research hat das Open-Science-Multimodal-Grundmodell \"Shenzhen\" entwickelt, mit insgesamt etwa 11 Milliarden Parametern, das sechs Arten von Daten verarbeiten kann: DNA, RNA, Proteine, kleine Moleküle, Erdsystem und medizinische Bilder. Bei 20 Aufgaben im Bereich der biologischen Sequenzen erzielte das Modell in 9 Aufgaben die besten Ergebnisse; beim medizinischen Bildsegmentieren liegt der durchschnittliche Dice-Wert bei 91,20 und ist damit unter den 7 bewerteten Methoden der höchste. Modellgewichte und Code sind bereits auf Xinghe Qizhi, Hugging Face und GitHub verfügbar.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Shanghai Wissenschaftliches Intelligentes Forschungsinstitut Offenes Wissenschaftliches Multimodales Grundmodell \"Shenzhen\" - Aioga KI-News","description":"Das Shanghai Institute of Science and Intelligence Research hat das Open-Science-Multimodal-Grundmodell \"Shenzhen\" entwickelt, mit insgesamt etwa 11 Milliarden Parametern, das sech...","url":"https://www.aioga.com/de/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:27:00.484Z"},"pt-BR":{"title":"Modelo Multimodal Básico de Ciência Aberta do Instituto de Inteligência Científica de Xangai \"Shenzhen\"","summary":"O Instituto de Pesquisa em Inteligência Científica de Xangai lançou o modelo básico multimodal de ciência aberta \"Shenzhen\", com um total de aproximadamente 11 bilhões de parâmetros, capaz de processar seis tipos de dados: DNA, RNA, proteínas, pequenas moléculas, sistemas terrestres e imagens médicas. Em 20 tarefas de sequências biológicas, o modelo obteve os melhores resultados em 9 delas; na segmentação de imagens médicas, a pontuação média de Dice foi de 91,20, sendo a melhor entre 7 métodos avaliados. Os pesos do modelo e o código já estão abertos no Xinghe Qizhi, Hugging Face e GitHub.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Modelo Multimodal Básico de Ciência Aberta do Instituto de Inteligência Científica de Xangai \"Shenzhen\" - Aioga Notícias de IA","description":"O Instituto de Pesquisa em Inteligência Científica de Xangai lançou o modelo básico multimodal de ciência aberta \"Shenzhen\", com um total de aproximadamente 11 bilhões de parâmetro...","url":"https://www.aioga.com/pt-BR/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:27:50.337Z"},"ru":{"title":"Шанхайский научно-исследовательский институт интеллектуальных технологий открытая научная мультимодальная базовая модель \"Шэнь Чжэнь\"","summary":"Шанхайский научно-исследовательский институт интеллектуальных технологий представил открытая научная мультимодальная базовая модель \"Шэньчжэнь\" с общим числом параметров около 11 миллиардов, способная обрабатывать шесть типов данных: ДНК, РНК, белки, малые молекулы, системы Земли и медицинские изображения. В 20 задачах по биологическим последовательностям модель показала наилучшие результаты в 9 задачах; средний показатель Dice при сегментации медицинских изображений составил 91,20, что является лучшим среди 7 методов оценки. Весовые коэффициенты модели и код уже открыты на платформах Xinghe Qizhi, Hugging Face и GitHub.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Шанхайский научно-исследовательский институт интеллектуальных технологий открытая научная мультимодальная базовая модель \"Шэнь Чжэнь\" - Aioga Новости ИИ","description":"Шанхайский научно-исследовательский институт интеллектуальных технологий представил открытая научная мультимодальная базовая модель \"Шэньчжэнь\" с общим числом параметров около 11 м...","url":"https://www.aioga.com/ru/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:27:56.103Z"},"ar":{"title":"معهد شنغهاي للذكاء العلمي والبحث العلمي نموذج أساسي متعدد الوسائط مفتوح \"شن تشن\"","summary":"معهد شنغهاي للعلوم والذكاء الاصطناعي يطلق نموذج أساسي متعدد النماذج للعلوم المفتوحة يُدعى \"شين تشن\"، بإجمالي حوالي 11 مليار معلمة، يمكنه معالجة ستة أنواع من البيانات وهي: DNA وRNA والبروتينات والجزيئات الصغيرة ونظام الأرض وصور طبية. في 20 مهمة متعلقة بتسلسل الأحياء، حقق هذا النموذج أفضل النتائج في 9 مهام؛ أما في تقسيم الصور الطبية، فكان متوسط درجة Dice 91.20، وهو الأفضل بين 7 طرق متنافسة. تم فتح أوزان النموذج والكود على Xinghe Qizhi وHugging Face وGitHub.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"معهد شنغهاي للذكاء العلمي والبحث العلمي نموذج أساسي متعدد الوسائط مفتوح \"شن تشن\" - Aioga أخبار الذكاء الاصطناعي","description":"معهد شنغهاي للعلوم والذكاء الاصطناعي يطلق نموذج أساسي متعدد النماذج للعلوم المفتوحة يُدعى \"شين تشن\"، بإجمالي حوالي 11 مليار معلمة، يمكنه معالجة ستة أنواع من البيانات وهي: DNA وRNA...","url":"https://www.aioga.com/ar/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:28:43.217Z"},"hi":{"title":"शंघाई साइंस एंड इंटेलिजेंट रिसर्च इंस्टिट्यूट का ओपन साइंस मल्टीमॉडल बेस मॉडल \"शेनझेन\"","summary":"शंघाई विज्ञान और बुद्धिमान अनुसंधान संस्थान का खुला विज्ञान बहुपरकीय मूल मॉडल \"Zhēnzhēn\" है, जिसके कुल पैरामीटर लगभग 11 अरब हैं, जो DNA, RNA, प्रोटीन, लघु अणु, पृथ्वी प्रणाली और चिकित्सा छवियों के छह प्रकार के डेटा को संसाधित कर सकता है। जैविक अनुक्रम के 20 कार्यों में, इस मॉडल ने 9 कार्यों में सर्वश्रेष्ठ परिणाम प्राप्त किए; चिकित्सा छवि विभाजन में औसत Dice स्कोर 91.20 था, और 7 मूल्यांकन विधियों में सबसे अच्छा। मॉडल के वज़न और कोड StarRiver Qizhi, Hugging Face और GitHub पर उपलब्ध हैं।","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"शंघाई साइंस एंड इंटेलिजेंट रिसर्च इंस्टिट्यूट का ओपन साइंस मल्टीमॉडल बेस मॉडल \"शेनझेन\" - Aioga AI समाचार","description":"शंघाई विज्ञान और बुद्धिमान अनुसंधान संस्थान का खुला विज्ञान बहुपरकीय मूल मॉडल \"Zhēnzhēn\" है, जिसके कुल पैरामीटर लगभग 11 अरब हैं, जो DNA, RNA, प्रोटीन, लघु अणु, पृथ्वी प्रणाली और चि...","url":"https://www.aioga.com/hi/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:28:53.528Z"},"it":{"title":"Modello di base multimodale scientifico aperto dell'Istituto di ricerca sulla scienza e l'intelligenza di Shanghai 'Shenzhen'","summary":"L'Istituto di Ricerca Scientifica e Intelligente di Shanghai ha reso disponibile il modello di base multimodale aperto 'Shenzhen', con un totale di circa 11 miliardi di parametri, in grado di elaborare sei tipi di dati: DNA, RNA, proteine, piccole molecole, sistemi terrestri e immagini mediche. Su 20 compiti relativi a sequenze biologiche, il modello ha ottenuto risultati migliori in 9 compiti; nella segmentazione delle immagini mediche ha raggiunto un punteggio medio Dice di 91,20, il migliore tra sette metodi valutati. I pesi del modello e il codice sono stati resi disponibili su Xinghe Qizhi, Hugging Face e GitHub.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Modello di base multimodale scientifico aperto dell'Istituto di ricerca sulla scienza e l'intelligenza di Shanghai 'Shenzhen' - Aioga Notizie IA","description":"L'Istituto di Ricerca Scientifica e Intelligente di Shanghai ha reso disponibile il modello di base multimodale aperto 'Shenzhen', con un totale di circa 11 miliardi di parametri,...","url":"https://www.aioga.com/it/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:29:48.839Z"},"nl":{"title":"Shanghai Wetenschappelijk en Intelligentie Onderzoeksinstituut Open Wetenschappelijke Multimodale Basisstructuurmodel 'Shenzhen'","summary":"Het Shanghai Institute for Science and Intelligence Research heeft het openwetenschappelijke multimodale basismodel 'Shenzhen' ontwikkeld, met ongeveer 11 miljard parameters, dat zes soorten gegevens kan verwerken: DNA, RNA, eiwitten, kleine moleculen, aardesystemen en medische beelden. Op 20 biologische sequentietaken behaalde dit model de beste resultaten in 9 gevallen; bij de segmentatie van medische beelden was de gemiddelde Dice-score 91,20, het beste van de 7 beoordeelde methoden. De modelgewichten en code zijn beschikbaar gesteld op Xinghe Qizhi, Hugging Face en GitHub.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Shanghai Wetenschappelijk en Intelligentie Onderzoeksinstituut Open Wetenschappelijke Multimodale Basisstructuurmodel 'Shenzhen' - Aioga AI-nieuws","description":"Het Shanghai Institute for Science and Intelligence Research heeft het openwetenschappelijke multimodale basismodel 'Shenzhen' ontwikkeld, met ongeveer 11 miljard parameters, dat z...","url":"https://www.aioga.com/nl/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:29:38.264Z"},"tr":{"title":"Şanghay Bilim ve Akıllı Araştırma Enstitüsü Açık Bilim Çok Modlu Temel Modeli \"Shenzhen\"","summary":"Şanghay Bilim ve Akıllı Araştırma Enstitüsü, açık bilim çok modlu temel modeli \"ShenZhen\"i geliştirdi; toplam parametre sayısı yaklaşık 11 milyar olup DNA, RNA, protein, küçük moleküller, yer sistemi ve tıbbi görüntü olmak üzere altı tür veriyi işleyebiliyor. Biyolojik dizilerdeki 20 görevden 9'unda model en iyi sonucu elde etti; tıbbi görüntü segmentasyonunda ortalama Dice skoru 91,20 olup 7 değerlendirilen yöntem arasında en iyisidir. Model ağırlıkları ve kodlar, Xinghe Qizhi, Hugging Face ve GitHub'da erişime açıldı.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Şanghay Bilim ve Akıllı Araştırma Enstitüsü Açık Bilim Çok Modlu Temel Modeli \"Shenzhen\" - Aioga AI Haberleri","description":"Şanghay Bilim ve Akıllı Araştırma Enstitüsü, açık bilim çok modlu temel modeli \"ShenZhen\"i geliştirdi; toplam parametre sayısı yaklaşık 11 milyar olup DNA, RNA, protein, küçük mole...","url":"https://www.aioga.com/tr/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:30:44.781Z"},"vi":{"title":"Viện Nghiên cứu Khoa học Thông minh Thượng Hải mở mô hình cơ bản đa phương thức 'Shenzhen'","summary":"Viện Nghiên cứu Trí tuệ Khoa học Thượng Hải mở mô hình cơ bản đa phương thức khoa học 'Shenzhen', tổng số tham số khoảng 11 tỷ, có thể xử lý sáu loại dữ liệu: DNA, RNA, protein, phân tử nhỏ, hệ thống Trái Đất và hình ảnh y học. Trong 20 nhiệm vụ về chuỗi sinh học, mô hình này đạt kết quả tối ưu ở 9 nhiệm vụ; điểm Dice trung bình của phân đoạn hình ảnh y học là 91,20, tốt nhất trong 7 phương pháp đánh giá. Trọng số và mã của mô hình đã được công khai trên Xinghe Qizhi, Hugging Face và GitHub.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Viện Nghiên cứu Khoa học Thông minh Thượng Hải mở mô hình cơ bản đa phương thức 'Shenzhen' - Tin tức AI Aioga","description":"Viện Nghiên cứu Trí tuệ Khoa học Thượng Hải mở mô hình cơ bản đa phương thức khoa học 'Shenzhen', tổng số tham số khoảng 11 tỷ, có thể xử lý sáu loại dữ liệu: DNA, RNA, protein, ph...","url":"https://www.aioga.com/vi/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:30:41.462Z"},"id":{"title":"Institut Penelitian Inteligensi Ilmiah Shanghai membuka model dasar multimodal ilmiah \"Shenzhen\"","summary":"Institut Penelitian Kecerdasan Ilmiah Shanghai membuka model dasar multimodal ilmiah 'Shenzhen', dengan total parameter sekitar 11 miliar, dapat menangani enam jenis data: DNA, RNA, protein, molekul kecil, sistem bumi, dan citra medis. Dalam 20 tugas urutan biologis, model ini mencapai hasil terbaik pada 9 tugas; skor rata-rata Dice pada segmentasi citra medis adalah 91,20, terbaik di antara 7 metode yang dinilai. Bobot model dan kode telah dibuka di Xinghe Qizhi, Hugging Face, dan GitHub.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Institut Penelitian Inteligensi Ilmiah Shanghai membuka model dasar multimodal ilmiah \"Shenzhen\" - Berita AI Aioga","description":"Institut Penelitian Kecerdasan Ilmiah Shanghai membuka model dasar multimodal ilmiah 'Shenzhen', dengan total parameter sekitar 11 miliar, dapat menangani enam jenis data: DNA, RNA...","url":"https://www.aioga.com/id/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:31:30.129Z"},"th":{"title":"สถาบันวิจัยวิทยาศาสตร์และปัญญาประดิษฐ์เซี่ยงไฮ้ เปิดตัวโมเดลพื้นฐานมัลติโมดอลทางวิทยาศาสตร์ 'Zhenzhen'","summary":"สถาบันวิจัยวิทยาศาสตร์และปัญญาประดิษฐ์แห่งเซี่ยงไฮ้เปิดตัวโมเดลพื้นฐานมัลติเมดียวิทยาศาสตร์ \"Shenzhen\" โดยมีจำนวนพารามิเตอร์รวมประมาณ 11 พันล้าน สามารถประมวลผลข้อมูลหกประเภท ได้แก่ DNA, RNA, โปรตีน, โมเลกุลเล็ก, ระบบโลก และภาพทางการแพทย์ ใน 20 งานลำดับทางชีววิทยา โมเดลนี้ทำผลลัพธ์ดีที่สุดใน 9 งาน ส่วนการแบ่งภาพทางการแพทย์มีคะแนน Dice เฉลี่ย 91.20 ซึ่งดีที่สุดในบรรดา 7 วิธีที่เข้าร่วมการแข่งขัน น้ำหนักของโมเดลและรหัสได้ถูกเปิดเผยบน Xinghe Qizhi, Hugging Face และ GitHub","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"สถาบันวิจัยวิทยาศาสตร์และปัญญาประดิษฐ์เซี่ยงไฮ้ เปิดตัวโมเดลพื้นฐานมัลติโมดอลทางวิทยาศาสตร์ 'Zhenzhen' - ข่าว AI Aioga","description":"สถาบันวิจัยวิทยาศาสตร์และปัญญาประดิษฐ์แห่งเซี่ยงไฮ้เปิดตัวโมเดลพื้นฐานมัลติเมดียวิทยาศาสตร์ \"Shenzhen\" โดยมีจำนวนพารามิเตอร์รวมประมาณ 11 พันล้าน สามารถประมวลผลข้อมูลหกประเภท ได้แก่...","url":"https://www.aioga.com/th/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:31:37.258Z"},"pl":{"title":"Otwarte naukowe multimodalne modele podstawowe Instytutu Naukowego i Inteligentnego w Szanghaju \"Shenzhen\"","summary":"Shanghai Institute of Science and Intelligence Research otworzył multimodalny podstawowy model naukowy „Shenzhen”, o łącznej liczbie parametrów wynoszącej około 11 miliardów, który potrafi przetwarzać sześć rodzajów danych: DNA, RNA, białka, małe cząsteczki, systemy ziemskie oraz obrazy medyczne. W 20 zadaniach związanych z sekwencjami biologicznymi model osiągnął najlepsze wyniki w 9 z nich; średnia wartość wskaźnika Dice w segmentacji obrazów medycznych wyniosła 91,20, co jest najlepszym wynikiem spośród 7 ocenianych metod. Wagi modelu oraz kod zostały udostępnione na Xinghe Qizhi, Hugging Face oraz GitHub.","category":"模型更新","source":"IT之家（RSS）","aggregationSource":"IT之家（RSS）","pageTitle":"Otwarte naukowe multimodalne modele podstawowe Instytutu Naukowego i Inteligentnego w Szanghaju \"Shenzhen\" - Aioga Wiadomości AI","description":"Shanghai Institute of Science and Intelligence Research otworzył multimodalny podstawowy model naukowy „Shenzhen”, o łącznej liczbie parametrów wynoszącej około 11 miliardów, który...","url":"https://www.aioga.com/pl/news/cmrsxb09d0098bitl4vd2rp04/","contentTranslated":true,"sourceHash":"4f0b8dff514344b3","translatedAt":"2026-07-22T17:32:23.425Z"}}}}