Accelerating Discovery: Distilling Natural Laws from Experimental Data, from particle physics to computational biology

  Hod Lipson  
Mechanical and Aerospace Engineering and Computing and Information Science, Cornell University, Ithaca, NY, USA

Can machines discover scientific laws automatically? Despite the prevalence of computing power, the process of finding natural laws and their corresponding equations has resisted automation. This talk will outline a series of recent research projects, starting with self-reflecting robotic systems, and ending with machines that can formulate hypotheses, design experiments, and interpret the results, to discover new scientific laws. We will see examples from psychology to cosmology, from classical physics to modern physics, from big science to small science.


See Schmidt M., Lipson H. (2009) "Distilling Free-Form Natural Laws from Experimental Data," Science, Vol. 324, no. 5923, pp. 81 - 85. Try it on your own data