  We successfully model the behavior of two-spin systems using neural networks
known as conditional Restricted Boltzmann Machines (cRBMs) which encode
physical information in the properties of a thermal ensemble akin to an Ising
model. The result gives local "hidden" variable models for product states and
entangled states, including the singlet state used in the EPR-Bohm experiment.
Bell's theorem is circumvented because the state of the system is dependent not
only on the preparation but also on the measurement setup (the detector
settings). Though at first glance counterintuitive, the apparent
"retrocausality" in these models has a historical precedent in the absorber
theory of Wheeler and Feynman and an intuitive analog in the simple AC circuit
of an electric guitar.
