Title: Neural Network Field Theory: Fermions and Supersymmetry Abstract:  Based on a duality between Neural Network (NN) architectures, the backbone of modern AI/ML, and field theory, the Neural Network Field Theory (NNFT) correspondence offers a robust, interpretable, and training-free simulation framework for scalar, fermionic, and supersymmetric field theories. By constraining NNs in a maximally physics-informed manner, this approach eliminates the need for … Read More