Anthropic Science Blog: How AI Is Starting to Change Scientific Modeling
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.
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AI that writes and tests competing models as code could speed up how scientists explain data.
In a guest post, Jakob Macke, Daniel Gedon and Stefan Wahl describe AI writing, running, fitting and revising scientific models as code. This lets AI explore many model structures and see which explanations the data support. Anthropic published it on its Science Blog.