Physics-Informed Neural Networks (PINNs) - An Introduction - Ben Moseley | The Science Circle Published 2023-06-01 Download video MP4 360p Recommendations 34:32 Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning] 40:08 The Most Important Algorithm in Machine Learning 19:10 Discrepancy Modeling with Physics Informed Machine Learning 17:38 The moment we stopped understanding AI [AlexNet] 37:05 Brain Criticality - Optimizing Neural Computations 23:05 Attosecond Lasers (2023 Nobel Prize in Physics) - Sixty Symbols 57:48 🧠Scientific Machine Learning, FEM + ML, PINNs – Ehsan Haghighat | Podcast #79 24:37 Neural ODEs (NODEs) [Physics Informed Machine Learning] 58:12 MIT Introduction to Deep Learning | 6.S191 23:42 Physics-Informed Dynamic Mode Decomposition (PI-DMD) 18:40 But what is a neural network? | Chapter 1, Deep learning 49:30 Liquid Neural Networks 1:07:34 Deep Symbolic Regression: Recovering Math Expressions from Data via Risk-Seeking Policy Gradients 25:28 Watching Neural Networks Learn 26:56 Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning 1:18:53 George Karniadakis - From PINNs to DeepOnets 31:28 Building a neural network FROM SCRATCH (no Tensorflow/Pytorch, just numpy & math) 51:22 Rethinking Physics Informed Neural Networks [NeurIPS'21] 1:05:33 Fourier Neural Operator for Parametric Partial Differential Equations (Paper Explained) 43:27 AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning] Similar videos 1:10:36 Physics-Informed Neural Networks (PINNs) - An Introduction - Ben Moseley | Jousef Murad 49:22 Introduction to PINNs 1:48:19 Solving Dynamical Systems || Respecting Causality Is All You Need for Training PINNs|| Mar 18,2022 45:38 Data-driven model discovery: Targeted use of deep neural networks for physics and engineering 48:56 George Karniadakis, BINNS: Biophysics-Informed Neural Networks 1:01:10 Advanced Machine Learning with Neural Networks 2021 - Class 10A - Photonic neural networks 1 57:27 DataLearning: Physics-Informed Deep Learning - Learning from Small Data 45:43 Mathematical Guarantees for Physics-Informed Neural Networks (Tim De Ryck) More results