Unraveling Turbulence - Field Theory, Gravity and Deep Learning by Yaron Oz

Explore the complex world of turbulence in this comprehensive lecture by Yaron Oz titled "Unraveling Turbulence: Field Theory, Gravity and Deep Learning." Delve into the connections between turbulence, field theory, gravity, and machine learning as part of the International Centre for Theoretical Sciences' discussion meeting on Field Theory and Turbulence. Gain insights into the multifaceted approaches to understanding and predicting turbulence, including quantum field theory applications, universal power laws, conformal field theory, and the relationship between black-hole solutions and relativistic fluid equations. Examine the investigation of singularities in Navier-Stokes and Euler equations, and discover how deep learning techniques are being applied to this challenging scientific problem. Engage with cutting-edge research that bridges progress across various disciplines, including physics, mathematics, and engineering, in the quest to unravel the mysteries of turbulent flows.

Unraveling Turbulence: Field Theory, Gravity and Deep Learning by Yaron Oz