Data-Driven Automation Unveils Hidden State Variables in Experimental Data

Automatic discovery of fundamental variables hidden within experimental data

Year 2022 They discover a new form of physics created by their artificial intelligent.

It is difficult to determine state variables that describe physical systems. Data-driven approaches are proposed to identify state variables automatically for unknown systems based on high-dimensional observational information.

Source:
https://www.nature.com/articles/s43588-022-00281-6