We could be on the verge of a golden age for scientific discovery.

At the 12th Heidelberg Laureate Forum, artificial intelligence (AI) was at the center of heated discussions. In the second part of the Hot Topic session on “The Machine-Learning Revolution in Mathematics and Science,” the panel explored various ways through which AI can impact research, as well as potential pitfalls and downsides. On stage sat a physicist who wrangles with petabytes of data, an AI pioneer who taught machines to outthink world champions, and applied researchers testing the limits of deep learning.

How is AI already changing the way we do science? Where might it lead to next?

For an analysis on the panel discussion, head over to the HLFF Blog 

Image caption: The Hot Topic panel discussion (Part II) at the 12th Heidelberg Laureate Forum. © HLFF / Kreutzer