Anandkumar team proves stable singularity in 3D Euler using PINN-driven proof
AnimaAnandkumar · x · 2026-09-08
Anima Anandkumar's team reports finding a stable singularity in the 3D Euler equations. The approach uses a physics-informed neural network (PINN) to produce an approximate solution, then proves stability around it to complete the argument. Prior attempts failed because PINNs tended to converge to non-singular solutions. The result has drawn public acknowledgment from Terry, marking notable AI-for-math progress on a Millennium Prize-scale problem.
More from Research
- JustRL II adds token-level critic to GRPO for 128k long-CoT RL, lifting 2B model AIME25 from 61 to 81 — zibuyu9 · 2026-09-08
- Helsinki's Luigi Acerbi recruiting PhD/postdoc on amortized probabilistic ML for decision-making — LucaAmb · 2026-09-08
- ECCV 2026 to host tutorial on world models: from perception to simulation and reasoning — tolga_birdal · 2026-09-08
- ECCV 2026 work: mapping AI confidence words to probabilities for user-interpretable uncertainty — abursuc · 2026-09-08
- ECCV 2026 talk proposes desiderata for how LLMs should communicate uncertainty — abursuc · 2026-09-08
- MLP-Splatting at ECCV 2026: one small MLP per object replaces thousands of Gaussians — AjdDavison · 2026-09-08