[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f5tNrbqd8GSy0r2p-HsJM0h2sSBYCbUjhLLefJxGqLyI":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":10,"voiceSize":22,"taskId":23,"releaseTime":24,"titleEn":25,"contentEn":26,"voiceUrlEn":27,"taskIdEn":28,"voiceSizeEn":29},1154,"上海AI实验室开源发布“书生”科学多模态大模型Intern-S1","\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\">在7月26日召开的2025世界人工智能大会（WAIC2025）上，上海人工智能实验室正式发布并开源了名为『书生』的科学多模态大模型 Intern-S1。这一全新的模型旨在克服传统科研方法在分析复杂现象时的局限性，尤其是在跨学科的深度探索中。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Intern-S1结合了书生大模型家族的优势，实现了语言和多模态性能的均衡发展，融入了丰富的多学科专业知识。作为第一个融合专业科学能力的开源通用模型，Intern-S1在综合性能上超越了当前所有开源多模态大模型，展现出卓越的科研能力。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">伴随着 Intern-S1的发布，上海 AI 实验室还推出了名为 Intern-Discovery 的科学发现平台。该平台旨在提升研究者、研究工具和研究对象的协同能力，推动科学研究从团队单点探索向更大规模的科学发现转变。Intern-S1的能力不仅使其在化学、材料和地球科学等多个领域的任务上超越了顶尖的闭源模型 Grok-4，也使其在多模态综合能力上领先其他开源模型，如 InternVL3和 Qwen2.5-VL。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">ntern-S1创新性地推出了 “跨模态科学解析引擎”，可准确解读化学分子式、蛋白质结构及地震波信号等多种复杂科学数据。这一技术不仅能预测化合物的合成路径，还能评估化学反应的可行性，甚至识别地震波事件，为科研人员提供了更为强大的支持。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">此外，Intern-S1还将持续推动多智能体虚拟疾病学家系统的开发，帮助发现新的靶点并评估其临床转化价值。未来，上海 AI 实验室将继续开源 Intern-S1的全链条工具体系，推动更广泛的应用与合作，助力科研的持续进步。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】\u003C\u002Fspan>\u003Cspan style=\"color: rgb(187, 187, 187); background-color: rgb(56, 56, 56);\">AIbase基地 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20050\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20050\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fspan>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F07\u002Ff14533f6262146a2b2cd98dc94d96093\u002FAI领域.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F07\u002Fthumbs\u002Ff14533f6262146a2b2cd98dc94d96093\u002FAI领域.jpg",0,1,232,"2025-07-29 18:21",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision",3672524,"9ebee22f-5b09-40ac-9694-441758dff4af","2025-07-29 18:16","Shanghai AI Lab opensourced the \"ShuSheng\" scientific multimodal large model Intern-S1","\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\">At the 2025 World Artificial Intelligence Conference (WAIC2025) held on July 26, Shanghai Artificial Intelligence Laboratory officially released and open-sourced a scientific multimodal large model named 'ShuSheng' called Intern-S1. This new model aims to overcome the limitations of traditional research methods in analyzing complex phenomena, especially in deep interdisciplinary exploration.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Intern-S1 combines the advantages of the ShuSheng large model family, achieving balanced development of language and multimodal performance, and integrating rich multidisciplinary professional knowledge. As the first open-source general model that integrates professional scientific capabilities, Intern-S1 surpasses all current open-source multimodal large models in comprehensive performance, demonstrating excellent research capabilities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">With the release of Intern-S1, Shanghai AI Lab also launched a scientific discovery platform called Intern-Discovery. The platform aims to enhance the collaborative capabilities of researchers, research tools, and research objects, promoting the transformation of scientific research from team-based point exploration to larger-scale scientific discoveries. Intern-S1's capabilities not only enable it to surpass top closed-source models such as Grok-4 in tasks across multiple fields including chemistry, materials, and earth sciences, but also make it lead other open-source models, such as InternVL3 and Qwen2.5-VL, in multimodal comprehensive capabilities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Intern-S1 innovatively introduced the \"Cross-modal Scientific Analysis Engine,\" which can accurately interpret various complex scientific data such as chemical formulas, protein structures, and seismic wave signals. This technology can not only predict the synthesis pathways of compounds, but also evaluate the feasibility of chemical reactions, and even identify seismic wave events, providing more powerful support for researchers.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">In addition, Intern-S1 will continue to promote the development of the multi-agent virtual disease experts system, helping to discover new targets and evaluate their clinical translation value. In the future, Shanghai AI Lab will continue to open-source the full-chain tool system of Intern-S1, promoting broader applications and cooperation, and helping to continuously advance scientific research.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">[News Source]\u003C\u002Fspan>\u003Cspan style=\"color: rgb(187, 187, 187); background-color: rgb(56, 56, 56);\">AIbase Base \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20050\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20050\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（This article is reprinted by this site to provide readers with more information and news. The content involved does not constitute investment or consumption advice. If there are any doubts about the facts of the article, please verify with the relevant parties. The views of the article are not the views of this site and are for reference only.)\u003C\u002Fspan>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A34981f06-c599-4283-9e76-9059cf36455c%3A0.wav?Expires=1775143599&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=LxDIe69Bf8U7UqafoPGZA7tElBY%3D","34981f06-c599-4283-9e76-9059cf36455c",4747058]