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1,087,012 results
To try everything Brilliant has to offer—free—for a full 30 days, visit https://brilliant.org/ArtemKirsanov . You'll also get 20% off an ...
484,201 views
1 year ago
This video introduces PINNs, or Physics Informed Neural Networks. PINNs are a simple modification of a neural network that adds ...
183,666 views
My one-day workshop on Scalable Physics-Informed Neural Networks, which I gave at CWI in Amsterdam during their Autumn ...
5,216 views
5 months ago
For step-by-step guides and roadmaps on getting hired in data science, visit my dedicated career channel: ...
2,801 views
1 day ago
This video describes Neural ODEs, a powerful machine learning approach to learn ODEs from data. This video was produced at ...
106,776 views
LECTURE OVERVIEW BELOW ↓↓↓ ETH Zürich AI in the Sciences and Engineering 2024 *Course Website* (links to slides and ...
11,663 views
What if AI has already achieved superhuman performance in physics and nobody told you? Prof. George Karniadakis has spent ...
6,007 views
5 days ago
Teaching your neural network to "respect" Physics As universal function approximators, neural networks can learn to fit any ...
32,964 views
AI Winter School 2025, hosted by the Center for the Fundamental Physics of the Universe, Brown University Department of ...
389 views
2 months ago
Join the CompuFlair Community! Sign up on our website to access exclusive Data Science Roadmap pages — a ...
12,602 views
My weekly science newsletter - https://jousef.substack.com/ Full tutorial: https://www.youtube.com/watch?v=G_hIppUWcsc ...
7,740 views
2 years ago
PINNS in #MATLAB: https://www.youtube.com/watch?v=RTR_RklvAUQ Website: http://jousefmurad.com Physics-informed ...
94,157 views
Moderator: Vitaly Vanchurin, Founder and CEO, Artificial Neural Computing. Join us every Friday at noon EST on Zoom ...
899 views
3 years ago
I built a neural network that controls particle motion instead of using physics equations. The result? A flowing system that looks ...
57 views
15 hours ago
This video discusses the first stage of the machine learning process: (1) formulating a problem to model. There are lots of ...
125,402 views
LECTURE OVERVIEW BELOW ↓↓↓ ETH Zürich Deep Learning in Scientific Computing 2023 Lecture 5: Physics-Informed ...
29,138 views
Speakers, institute & title 1) Heechang Kim, Pohang University of Science and Technology (POSTECH), Physics-Informed ...
388 views
1 month ago
Link to the slides: http://amirgholami.org/assets/talks/2021_10_22_Rethinking_PINNs.pdf Link to the paper: ...
59,010 views
4 years ago
website: faculty.washington.edu/kutz This video highlights physics-informed machine learning architectures that allow for the ...
30,123 views
5 years ago
APEX Consulting: https://theapexconsulting.com Website: http://jousefmurad.com Chris Rackauckas is an Applied Mathematics ...
9,735 views