New Machine Learning Theory Raises Questions About the Very Nature of Science

 By SciTechDaily - 2021-02-12

Description

A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better predict and control the behavior of the plasma that fuels fus ...

Summary

  • A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better predict and control the behavior of the plasma that fuels fusion facilities designed to harvest on Earth the fusion energy that powers the sun and stars.
  • Hong taught the program the underlying principle used by nature to determine the dynamics of any physical system,” said Joshua Burby, a physicist at the DOE’s Los Alamos National Laboratory who earned his Ph.D. at Princeton under Qin’s mentorship.
  • “ Qin and Eric Palmerduca, a graduate student in the Princeton University Program in Plasma Physics, are now developing ways to use discrete field theories to predict the behavior of particles of plasma in fusion experiments conducted by scientists around the world.
  • Hopefully what we see moving forward is a greater understanding of how fundamental physics behaves unobserved.

 

Topics

  1. Machine_Learning (0.34)
  2. Backend (0.34)
  3. NLP (0.17)

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