Sunday, November 1, 2020

Researchers have developed a deep learning technique that can significantly decrease the computational capacity required to solve partial differential equations (Karen Hao/MIT Technology Review)

Karen Hao / MIT Technology Review:
Researchers have developed a deep learning technique that can significantly decrease the computational capacity required to solve partial differential equations  —  Partial differential equations can describe everything from planetary motion to plate tectonics, but they're notoriously hard to solve.



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A look at the growing prevalence of LLM-written posts that have been backdated and attributed to human authors on Physics Forums, which was founded in 2001 (Hall of Impossible Dreams)

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