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

Name: Neural Network Learns The Physics of Fluids and Smoke | Two Minute Papers #118
Uploaded: 2017-01-08T14:52:36Z
Duration: 5 min 26 s
Channel: Two Minute Papers
Description: 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.

Two Minute Papers1 HN recommender · recommended in 1 month, 2017-2024

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209K views · 9 years ago · explainer · dated

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.

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

Machine learning & deep learning Computer graphics & rendering #deeplearning #fluidsimulation #convolutionalnetworks #twominutepapers #physicssimulation

3 comments from Hacker News

@Fricken2024 · in “New Sora Demo from OpenAI [video]”

That reminds me of an episode of '2 Minute Papers' I saw 7 years ago, covering research to that effect: ▶ this video

CitesView on HN

@sitkack2018 · in “Linear logic and deep learning [pdf]”

Linear Logic is amazing-ly useful, link Rust [0] wouldn't exist without it. Oddly enough, I think the next discontinuity in programming language design will be in making it easier to construct anytime [1], incremental [2] and succinct [3] programs. There is a tyranny of poor tolerancing that we currently have a very hard time from escaping. Is it that differentiable programs can be made sloppy in a way that a non-differentiable one can't? Have you looked at the research of using DNN for physics simulations? [4] [0] link [1] link [2] link [3] link [4] ▶ this video

CitesView on HN

@visarga2017 · in “Mathematicians bring ocean to life for Disney's 'Moana'”

Take a look at an application of deep learning in accelerating complex 3d rendering. (Two Minute Papers) Stunning Video Game Graphics With Voxel Cone Tracing - ▶ this video

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

3 comments from Hacker News

AI Learns Noise Filtering For Photorealistic Videos | Two Minute Papers #215

Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition

Connections between physics and deep learning

But what is a neural network? | Deep learning chapter 1

Gradient descent, how neural networks learn | Deep Learning Chapter 2

CS231n Winter 2016: Lecture1: Introduction and Historical Context

Enhancing Photorealism Enhancement

HC2023-K2: Hardware for Deep Learning

Deep Visualization Toolbox

The spelled-out intro to neural networks and backpropagation: building micrograd

Neural Networks Demystified [Part 1: Data and Architecture]

Tensorflow and deep learning - without a PhD by Martin Görner

Backpropagation, intuitively | Deep Learning Chapter 3

Playing a Neural Network's version of GTA V: GAN Theft Auto

Transformers, the tech behind LLMs | Deep Learning Chapter 5

A Style-Based Generator Architecture for Generative Adversarial Networks

Trends in Deep Learning Hardware: Bill Dally (NVIDIA)

Recent Developments in Deep Learning

Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learning

MarI/O - Machine Learning for Video Games

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

3 comments from Hacker News

AI Learns Noise Filtering For Photorealistic Videos | Two Minute Papers #215

Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition

Connections between physics and deep learning

But what is a neural network? | Deep learning chapter 1

Gradient descent, how neural networks learn | Deep Learning Chapter 2

CS231n Winter 2016: Lecture1: Introduction and Historical Context

Enhancing Photorealism Enhancement

HC2023-K2: Hardware for Deep Learning

Deep Visualization Toolbox

The spelled-out intro to neural networks and backpropagation: building micrograd

Neural Networks Demystified [Part 1: Data and Architecture]

Tensorflow and deep learning - without a PhD by Martin Görner

Backpropagation, intuitively | Deep Learning Chapter 3

Playing a Neural Network's version of GTA V: GAN Theft Auto

Transformers, the tech behind LLMs | Deep Learning Chapter 5

A Style-Based Generator Architecture for Generative Adversarial Networks

Trends in Deep Learning Hardware: Bill Dally (NVIDIA)

Recent Developments in Deep Learning

Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learning

MarI/O - Machine Learning for Video Games