A new arXiv paper (arXiv:2610.08822v1) presents a vehicle-integrated digital twin framework that unifies physics-based modelling and machine learning for continuous monitoring of bridge and road condi…
Researchers introduced the Function-Space Transformer (FST), a framework that learns from functions via a spatially adaptive continuous latent representation, storing features at anchors whose locatio…
A transformer-enhanced neural operator (TNO) predicted transonic compressor blade performance with lower error than state-of-the-art deep learning operators FNO and DeepONet, according to an arXiv pap…
Researchers proposed Physics-Informed Conformal Prediction (PI-CP), a framework that embeds PDE residuals into the nonconformity score of split conformal prediction to give neural operators distributi…
Caltech Professor Anima Anandkumar developed FourCastNet, the first open-source AI weather model, which is competitive with the best physics-based simulations and can run on consumer-grade GPUs. Anand…