Anthropic 科学博客探讨了 AI 如何通过编写、运行、拟合和修改科学模型代码来改变科学建模过程。AI 能够探索多种可能的模型结构,并找出数据支持的解释。文章由 Jakob Macke、Daniel Gedon 和 Stefan Wahl 撰写,介绍了 AI 如何协助研究人员解释和预测现实世界系统。
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