Research
AI uncovers unstable singularity candidates in fluid math
• $1 million Navier‑Stokes prize remains unclaimed; researchers instead hunt simpler models. • Physics‑informed neural networks (PINNs) uncovered multiple new singularity candidates, many unstable. • Teams including Tristan Buckmaster, Javier Gómez‑Serrano and Google DeepMind produced high‑precision approximate solutions in Euler, porous‑medium and CCF models. • Candidates are unproven but