AA << show that an ensemble of solutions obtained using an arbitrarily precise numerical integrator can be used to train a deep artificial neural network (..) that, over a bounded time interval, provides accurate solutions at fixed computational cost and up to 100 million times faster than a state-of-the-art solver. >>
Philip G. Breen, Christopher N. Foley, et al. Newton vs the machine: solving the chaotic three-body problem using deep neural networks. arXiv: 1910.07291v1 [astro-ph.GA] Oct 16, 2019
https://arxiv.org/abs/1910.07291
A neural net solves the three-body problem 100 million times faster. By Emerging Technology from the arXiv.
Oct 26, 2019.
https://www.technologyreview.com/s/614597/a-neural-net-solves-the-three-body-problem-100-million-times-faster/
Also
keyword "three" in FonT
https://flashontrack.blogspot.com/search?q=three
keyword "three" in Notes
https://inkpi.blogspot.com/search?q=three
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