Alexander Kruel originally shared this post:
“In 2010, Cornell researchers Michael Schmidt and Hod Lipson published a groundbreaking paper in “Science” titled, “Distilling Free-Form Natural Laws from Experimental Data”. The premise was simple, and it essentially boiled down to the question, “can we algorithmically extract models to fit our data?””
Automated science, deep data and the paradox of information – O’Reilly Radar
Bradley Voytek: