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Neural Network Learns The Physics of Fluids and Smoke | Two Minute Papers #118

Two Minute Papers · explainer · Watch on YouTube

Machine learning & deep learningComputer graphics & rendering

What it is

Two Minute Papers covers a paper on speeding up fluid and smoke simulation with convolutional networks. It contrasts the approach with earlier regression forest methods.

Why Hacker News recommends it

It is cited as an early example of neural networks learning physics, and recalled during later discussions of AI video generation.

  • 1 people recommended it
  • 1 different months
  • 0 strong recommendations
  • first 2017, last 2024

What HN commenters said

  1. “Take a look at an application of deep learning in accelerating complex 3d rendering.”

    Deep learning applied to accelerating complex 3D rendering

    visarga, 2017-01 · Recommendation · in “Mathematicians bring ocean to life for Disney's 'Moana'”

Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.

Topics: deep learning, fluid simulation, convolutional networks, two minute papers, physics simulation

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