Anthropic 科学博客发文介绍 AI 正开始介入科学建模流程。研究人员目前仍需手工编写模型,并在多个可能解释数据的竞争版本间权衡;AI 通过以代码形式编写、运行、拟合和修订模型,可探索多种模型结构并找出数据支持的 explanation。该文为 Jakob Macke、Daniel Gedon 与 Stefan Wahl 的客座文章。
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.
https://www.anthropic.com/research/teaching-ai-to-build-scientific-models
来源:Anthropic · x.com