Automatic Differentiation and Adjoint Methods - Felix Köhler | Podcast #149

Felix’s YouTube Channel: https://www.youtube.com/@MachineLearningSimulation/featured Connect with Felix: https://www.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. ONLINE PRESENCE ================ 🌍 My website - http://jousefmurad.com/ 💌 My weekly science newsletter - https://jousef.substack.com/ 📸 Instagram - https://www.instagram.com/jousefmrd/ 🐦 Twitter - https://x.com/Jousefm2 CONTACT: ———————— If you need help or have any questions or want to collaborate feel free to reach out to me via email: [email protected] #engineering #education #cfd Disclaimer: Some of these links are affiliate links that make me earn a small commission when you make a purchase at no additional cost. Podcast Recorded: - Subscriber Release Count: 39,434