Train a Graph Neural Network (GNN) for #CFD | Jakob Lohse @JousefM
Train a Graph Neural Network (GNN) for #CFD | Jakob Lohse  @JousefM
Uploaded August 2024 | Updated September 2026, 3 weeks ago
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๐ŸŽฅ Podcast with Conor: youtube.com/watch?v=eKzHKGVIZMk

The transition to AI-accelerated engineering is gaining momentum as the industry grapples with complex challenges!๐Ÿ‘‡

This shift underscores the practical application of data-driven methods to simplify workflows and speed up engineering processes.

The need for AI in engineering arises from the desire to achieve real-time results, overcome intricate problems efficiently, and maximise the potential of interactive design. However, the question remains: How accurate and reliable is this approach?

Explore real-time, data-driven solutions for complex engineering challenges. Discover successful AI implementations in engineering, covering AI models and real-time examples, and learn about the applications of transfer learning.

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Contact:

If you need help or have any questions, or want to collaborate, feel free to reach out to me via email: support@jousefmurad.com

#engineering
#simulation
#navasto
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Jousef Murad | Deep Dive |

Train a Graph Neural Network (GNN) for #CFD | Jakob Lohse

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