Automatic Differentiation and Adjoint Methods - Felix KΓΆhler | Podcast #149 @JousefM
Automatic Differentiation and Adjoint Methods - Felix KΓΆhler | Podcast #149  @JousefM
Uploaded March 2025 | Updated September 2026, 2 weeks ago
Felix’s YouTube Channel: youtube.com/@MachineLearningSimulation/featured
Connect with Felix: linkedin.com/in/felix-koehler

In this episode, we sit down with Felix, a YouTube educator and PhD researcher in computational science, to explore the intersection of engineering, AI, and simulation. We dive into his journey of growing a YouTube channel from scratch and discuss whether AI can truly replace physics-based simulations.

The conversation also touches on the importance of education, mindset, and productivity tools in modern engineering, along with the challenges and breakthroughs in deep learning for simulation and optimization. Finally, we examine why engineers need to embrace AI-driven workflows to stay competitive.

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Podcast Recorded: - Subscriber Release Count: 39,434
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Automatic Differentiation and Adjoint Methods - Felix KΓΆhler | Podcast #149

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