Teaching machines to spot essential information in physical systems

Teaching machines to spot essential information in physical systems

  • March 31, 2018
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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

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