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Physics-informed neural networks (PINNs) offer a new and versatile approach for solving scientific problems by combining deep learning with known physical laws. Such networks are able to simulate physical systems, invert for their underlying parameters and even discover underlying physical laws themselves. In this introductory workshop and live coding session we will cover the basic definition of a PINN, their pros and cons compared to traditional scientific techniques and some of the state-of-the-art research in the field.

👉 My main channel: @Jousef Murad
📈 APEX Consulting: [ Ссылка ]

ONLINE PRESENCE
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#physics
#engineering
#neuralnetwork

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