Highlights Keywords Aeronautics, Environment/Climate/Weather, CFD, DL, AI, HPC Technologies used JAX-Fluids, LBMpy, ADIOS2, Pytorch Challenge In the case of online learning, changing data statistics—commonly referred to as concept drift— can bias the model toward recently observed features, as each training sample is only processed once. This dynamic nature of the data distribution impairs the model’s ability to generalize, often resulting in degraded performance compared to offline training. Standard optimization techniques like stochastic gradient descent (SGD) … Continue reading Success Story: FLOWGEN