Physicists of the Lawrence Livermore National Laboratory (LLNL) have combined a new machine learning strategy with their computer models to drastically improve the accuracy of simulations modelling Inertial Confinement Fusion (ICF) experiments at the National Ignition Facility (NIF). This technique leverages past experiments to calibrate simulations, enabling to predict the outcome of new experiments with higher accuracy than simulations on their own.