Anima Anandkumar on neural operators and trillion-parameter physics AI

Caltech's Anima Anandkumar discussed on the Latent Space podcast how neural operators can overcome physics AI's data scarcity and resolution challenges, and the potential of scaling these methods to trillion-parameter models with trillion-length 4D contexts.

2026-08-27 ~ 2026-08-27 · 2 related posts

• Anima Anandkumar: Why the physical world is forgiving, and how neural operators overcome AI prediction limits — Latent Space · 2026-08-27
• Anima Anandkumar on Trillion-Param Universal Models & Physical AI — AnimaAnandkumar · 2026-08-27