I will touch on some projects in AI for Science that connect to the themes of emergence in molecules. I will discuss a closely related sampling problem found in lattice quantum field theory where we have used ML to enhance sampling in the presence of complex symmetries and fermions. I will also reflect on some lessons learned from projects that involve symbolic regression, coarse graining, and algorithmic alignment.
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