PINNs

2 statements across 1 episodes · 1 bullish · 1 bearish · 1 people on the record · first statement Aug 26, 2026 by Anima Anandkumar · across every show →

Everything said about PINNs, oldest first

Aug 26, 2026 bullish
Insight
Neural operators overcome PINN limitations by combining data with physics constraints
“Our idea of neural operators came as a way to overcome this, right? So saying, you know, we can't rely just on physics constraints alone to come up with answers. We have lots of data available. You know, I'll talk about the weather example where we even collec…”
Anima Anandkumar Aug 26, 2026 ▶ 13:25 🔬 Why Transformers Hit a Wall the Moment Physics Shows Up — Anima Anandkumar, Caltech
Aug 26, 2026 negative
Insight
Physics-Informed Neural Networks fail on chaotic, time-dependent differential equations
“Optimization ends up being usually very difficult, especially for problems that are time-dependent, meaning it's not just stationary, you also have time, and the time component in many cases could be turbulent, like in the case of fluid dynamics, you know, you…”
Anima Anandkumar Aug 26, 2026 ▶ 12:24 🔬 Why Transformers Hit a Wall the Moment Physics Shows Up — Anima Anandkumar, Caltech
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 200 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.