Teaching Machines to Spot Essential Information in Physical Systems

Teaching machines to spot essential information in physical systems

Two physicists at ETH Zurich and the Hebrew University of Jerusalem have developed a novel machine-learning algorithm that analyses large data sets describing a physical system and extract from them the essential information needed to understand the underlying physics.

Source: phys.org