Claude Science, an AI workbench for scientists, is now available
Claude Science, an AI workbench for scientists, is now available
Claude Science：面向科学家的 AI 工作台现已发布
AI has the potential to dramatically accelerate the pace of scientific discovery and the development of healthcare interventions. Since launching our efforts in the life sciences last fall, we’ve worked to improve our model capabilities, make connections to the scientific ecosystem via MCPs and skills, and launch partnerships in an effort to realize this potential.
人工智能有潜力极大地加快科学发现和医疗干预措施的开发速度。自去年秋天我们在生命科学领域开展工作以来，我们一直致力于提升模型能力，通过 MCP（模型上下文协议）和技能与科学界建立联系，并开展合作，以期实现这一潜力。
Today, we’re introducing our most significant expansion of these efforts: Claude Science, an AI workbench for scientists. Claude Science is an app that integrates the tools and packages that researchers most commonly use, produces auditable artifacts, and provides flexible access to computing resources.
今天，我们推出了这些努力中最重大的扩展成果：Claude Science，一个面向科学家的 AI 工作台。Claude Science 是一款集成了研究人员最常用工具和软件包的应用程序，它能够生成可审计的成果，并提供对计算资源的灵活访问。
Introducing Claude Science
介绍 Claude Science
Scientific research is often tedious. Researchers must work across dozens of databases, each with their own schema, contend with file formats that require bespoke data pipelines and viewers, and transition between a roster of tools: PubMed, Jupyter, R, a cluster terminal, and more.
科学研究往往是枯燥乏味的。研究人员必须在数十个数据库之间工作，每个数据库都有自己的架构；还要处理需要定制数据管道和查看器的文件格式；并需要在各种工具之间切换：PubMed、Jupyter、R、集群终端等等。
Claude Science brings these fragmented tools into a single research environment where scientists can conduct all stages of their work. It helps you analyze literature and execute multi-step research, produces detailed artifacts, and lets you iteratively refine figures and manuscripts until they’re ready for publication. Every output carries an auditable history of how it was made, so you can validate and reproduce the results. Like a Jupyter Notebook, you can access Claude Science wherever you already work—locally on macOS or Linux, or on a remote machine over SSH or with an HPC login node.
Claude Science 将这些碎片化的工具整合到一个统一的研究环境中，科学家可以在此完成工作的各个阶段。它能帮助你分析文献、执行多步骤研究、生成详细的成果，并让你能够迭代地完善图表和手稿，直到它们达到发表标准。每一项输出都带有可审计的制作历史，因此你可以验证并复现结果。就像 Jupyter Notebook 一样，你可以在任何工作地点访问 Claude Science——无论是在 macOS 或 Linux 本地，还是通过 SSH 连接远程机器，亦或是使用高性能计算（HPC）登录节点。
Users interact with a generalist coordinating agent with access to over 60 curated skills and connectors pre-configured for genomics, single-cell, proteomics, structural biology, cheminformatics, and more. These agents can spin up others and engage with specialist agents created by users. And a reviewer agent checks citations and calculations, flagging and correcting errors. We are releasing Claude Science today in beta for Claude Pro, Max, Team, and Enterprise users, and will continue to refine the platform as we collect feedback from users.
用户通过一个通用的协调智能体进行交互，该智能体可以访问 60 多种预配置的技能和连接器，涵盖基因组学、单细胞、蛋白质组学、结构生物学、化学信息学等领域。这些智能体可以启动其他智能体，并与用户创建的专家智能体进行协作。此外，还有一个审查智能体负责检查引用和计算，标记并纠正错误。我们今天向 Claude Pro、Max、Team 和 Enterprise 用户发布 Claude Science 测试版，并将根据用户反馈持续优化平台。
How it works
工作原理
Claude Science displays proteins, structures, and molecules natively, with every result reproducible and traced to its code. Rich scientific artifacts, fully reproducible. Scientific research is inherently visual, so Claude Science generates figures and manuscripts alongside the code that created them. It natively renders rich scientific artifacts, including 3D protein structures, genome browser tracks, chemical structures, and more. You can chat with the agent about any detail, annotating figures and manuscripts in-line so the agent knows what to address to make them publication-ready.
Claude Science 原生显示蛋白质、结构和分子，每个结果都可复现并可追溯到其代码。 丰富的科学成果，完全可复现。科学研究本质上是视觉化的，因此 Claude Science 在生成图表和手稿的同时，也会生成创建它们的代码。它能原生渲染丰富的科学成果，包括 3D 蛋白质结构、基因组浏览器轨道、化学结构等。你可以与智能体讨论任何细节，在图表和手稿中进行内联标注，以便智能体知道如何修改以使其达到发表要求。
When it generates a figure, Claude Science includes the exact code and environment that produced it, a plain-language description of how it was created, and the full message history. This allows you to understand the inputs, making the work easier to validate and reproduce even months later. You can ask Claude Science to make edits to figures in plain language—removing gridlines, for example, or changing an axis to log scale—and the agent will edit its own code.
当生成图表时，Claude Science 会包含生成该图表的精确代码和环境、创建过程的通俗语言描述以及完整的消息历史记录。这使你能够理解输入内容，即使在几个月后也能更轻松地验证和复现工作。你可以用通俗语言要求 Claude Science 修改图表——例如删除网格线或将坐标轴更改为对数刻度——智能体将自动修改其代码。
Claude Science builds environments and manages compute on your laptop, your cluster, or GPUs on demand. Manages your compute and scales on demand. Large analyses—folding a protein, for example, or running a genomics pipeline over a massive dataset—often require researchers to shift their focus to setting up a computing job, waiting while it’s sent to a cluster, checking whether it succeeded or failed, and pulling the results back. Claude Science handles this process for you. It drafts a plan, asks before reaching new resources, and lets you review or revoke any decision before writing and submitting the job to the computing resources your lab already uses (your own HPC cluster over SSH, or your Modal account for compute on demand), scaling the analysis from a single GPU to hundreds as needed.
Claude Science 可在你的笔记本电脑、集群或按需 GPU 上构建环境并管理计算。 管理计算并按需扩展。大型分析（例如蛋白质折叠或在海量数据集上运行基因组学管道）通常需要研究人员将精力转移到设置计算任务、等待任务发送到集群、检查成功或失败以及拉取结果上。Claude Science 为你处理这一过程。它会起草计划，在调用新资源前征求你的意见，并允许你在将任务写入并提交到实验室现有计算资源（通过 SSH 连接的自有 HPC 集群，或用于按需计算的 Modal 账户）之前审查或撤销任何决定，并根据需要将分析规模从单个 GPU 扩展到数百个。
Because its agents work inside a running session that holds context in memory, even massive datasets only need to be loaded once. It runs on your lab’s own infrastructure—your laptop, Linux box, or HPC login node—so large or sensitive datasets never have to leave the systems they’re already on, and only the context needed for each step of the analysis is sent to Claude. As the pipeline runs, a reviewer agent inspects the outputs, flagging incorrect citations, untraceable numbers, and figures that don’t match their underlying code, and self-correcting as it goes. You can fork the session at any point to compare two approaches without losing the original thread.
由于其智能体在内存中保持上下文的运行会话中工作，即使是海量数据集也只需加载一次。它运行在实验室自己的基础设施上——你的笔记本电脑、Linux 主机或 HPC 登录节点——因此大型或敏感数据集无需离开其所在的系统，只有分析每一步所需的上下文才会被发送给 Claude。在管道运行过程中，审查智能体会检查输出，标记错误的引用、无法追溯的数字以及与底层代码不匹配的图表，并进行自我修正。你可以在任何时候分叉会话以比较两种方法，而不会丢失原始线索。
Claude Science is pre-configured for genomics, single-cell, proteomics, and cheminformatics, backed by more than 60 scientific databases. Domain-ready on day one. Scientific knowledge is scattered across hundreds of specialized sources. In biology, for example, relevant data might sit across resources such as UniProt, PDB, Ensembl, Reactome, ClinVar, ChEMBL, GEO—each with its own schema and query language—as well as in journals and preprint servers, and domain-specific open models. When you ask Claude Science a question in plain language, specialist agents query and synthesize across all of these sources so you don’t have to navigate them individually. Claude Science uses the skills in NVIDIA’s BioNeMo Agent Toolkit to connect natively to the life sciences models and libraries in BioNeMo, including Evo 2, Boltz-2, and OpenFold3.
Claude Science 针对基因组学、单细胞、蛋白质组学和化学信息学进行了预配置，并由 60 多个科学数据库提供支持。 开箱即用的领域能力。科学知识分散在数百个专业来源中。例如，在生物学领域，相关数据可能分布在 UniProt、PDB、Ensembl、Reactome、ClinVar、ChEMBL、GEO 等资源中（每个资源都有自己的架构和查询语言），以及期刊、预印本服务器和特定领域的开放模型中。当你用通俗语言向 Claude Science 提问时，专家智能体会跨所有这些来源进行查询和综合，因此你无需逐一浏览它们。Claude Science 使用 NVIDIA BioNeMo Agent Toolkit 中的技能，原生连接到 BioNeMo 中的生命科学模型和库，包括 Evo 2、Boltz-2 和 OpenFold3。
Scientists already have models, datasets, and pipelines they trust. Claude Science can connect to these as well, saving any pipeline as a reusable skill or accessing your lab’s preferred tool using a connector, with future sessions inheriting them automatically. This customizability allows you to access Claude, your proprietary data, and the validated tools you already rely on.
科学家们已经拥有他们信任的模型、数据集和管道。Claude Science 也可以连接到这些资源，将任何管道保存为可重用的技能，或使用连接器访问你实验室首选的工具，未来的会话将自动继承这些设置。这种可定制性使你能够访问 Claude、你的专有数据以及你已经依赖的经过验证的工具。