Last Updated on March 11, 2026 by Editorial Team
Author(s): DrSwarnenduAI
Originally published on Towards AI.
Does Water Break Math? DeepMind’s Physics-Informed Search for the $1,000,000 Singularity
There is a prize.
The article discusses how DeepMind employed a Physics-Informed Neural Network to explore the Navier-Stokes equations, a long-standing mathematical problem tied to fluid dynamics. It highlights the $1 million prize for solving the equations, and how traditional methods struggled with singularities that could lead to infinite velocities in fluids. Ultimately, the findings suggest that DeepMind discovered new families of unstable singularities that reshape our understanding of this mathematical problem, emphasizing the potential and impact of AI on complex mathematical challenges.
Read the full blog for free on Medium.
Published via Towards AI
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