AI Physics Simulation Toolkit SimNet & PINNs - Sanjay Choudhry | Podcast #61

The Engineered-Mind Podcast | Engineering, AI & Technology

English - October 07, 2021 18:09 - 32 minutes - 60.2 MB
Education Homepage Download Google Podcasts Overcast Castro Pocket Casts RSS feed

Previous Episode: Generative Adversarial Networks, Andrew Ng & Academia - Sharon Zhou | Podcast #60

Next Episode: CFD + Machine Learning, Turbulence & PhD Life - Bernat Font | Podcast #62

Sanjay is a senior director at NVIDIA with a strong background in both traditional computational methods as well as machine learning in science and engineering. He leads the engineering efforts on SimNet and is passionate about development of AI-based simulation solutions for industrial applications.

NVIDIA SimNet is a Physics-Informed Neural Networks (PINNs) toolkit for engineers, scientists, students, and researchers who either want to get started with AI-driven physics simulations, or would like to leverage a powerful framework to implement their domain knowledge to solve complex nonlinear physics problems with real-world applications.

—————————————————————————————

🧠 Free Science Community: community.sci-circle.com

👉 Science Academy: academy.jousefmurad.com

📥 Weekly free science insights newsletter: jousef.substack.com

🐤 Follow me on Twitter: @jousefm2

📷 Follow me on Instagram: @jousefmrd

Feel free to support the podcast on Patreon: patreon.com/theengiineer