Neural Networks and Conformal Field Theory

Jim Halverson, Associate Professor, Physics, Northeastern

I'll present an essential result in ML theory, explain how it motivates a new approach to field theory, and present some key findings. Next, I'll discuss new work, explaining a result of Dirac on the relationship between Lorentz invariance and conformal invariance, and how this can be applied in neural networks for constructing new conformal field theories.

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