Does Water Break Math? DeepMind’s Physics-Informed Search for the $1,000,000 Singularity

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. Not the proof. Not the $1 million.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. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI