Anthropic 博客探讨 AI 如何辅助科学建模流程
Anthropic 博客上的一篇客座文章，讲 AI 怎么帮科学家写模型、拟合数据，做科研的朋友可以看看思路。
Anthropic 科学博客发布由 Jakob Macke、Daniel Gedon 和 Stefan Wahl 撰写的客座文章，主题是 AI 在科学建模中的应用。传统上，科学家需要手工编写模型，并在多个候选版本之间权衡，例如解释神经元放电或中子星碰撞的数据。文章指出 AI 可以把模型以代码形式编写、运行、拟合和修订，从而探索多种模型结构，判断数据支持哪种解释。
New on our Science Blog: How AI is beginning to change scientific modeling. Scientific models help researchers explain and predict real-world systems—like how a single nerve cell fires, or what happens when neutron stars collide. Recent advances have transformed how scientists fit complex models to data. But scientists still typically write the models manually, and usually need to weigh up several competing versions, each of which might explain the data in a different way. In a guest post, Jakob Macke, Daniel Gedon, and Stefan Wahl describe how AI is starting to help with these parts of the process. By writing, running, fitting, and revising scientific models as code, AI can explore many possible model structures, and find out which explanations the data support. anthropic.com/research/teach… 💬 138 🔄 71 ❤️ 886 👀 61828 📊 211 ⚡
