Hybrid machine learning for physics

1 statements across 1 episodes · 1 bullish · 0 bearish · 1 people on the record · first statement Sep 4, 2026 by Anima Anandkumar · across every show →

Everything said about Hybrid machine learning for physics, oldest first

Sep 4, 2026 bullish
Insight
Anandkumar: Neural operators mix physical scales internally to boost data efficiency
“Neural operators have this flexibility because they can allow you to mix across different scales within the model rather than be prescribed externally like a lot of other Hybrid machine learning for physics do, and that, you know, allows us to be a lot more da…”
Anima Anandkumar Sep 4, 2026 ▶ 19:36 Faster Chips That Don't Melt — Anima Anandkumar & Benedikt Jenik, Accelerated Understanding
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.