Abstract: This work presents a floating-point Fused Dot Prod-uct Add operator designed for two use cases: mixed-precision matrix multiply add for deep learning and single-precision arithmetic for ...

Daniel comes to Simple Flying with a business focused approach to the aviation world. Daniel enjoys analyzing strategy and how companies move against each other to gain a step ahead in the skies.

NESTOR, a nested MoE-based neural operator, is proposed to capture global features across different PDE types via image-level MoE and local spatial correlations within physical fields via token-level ...

Control of container terminals has become a core strategic issue for liner operators as the top 10 global terminal companies now handle 44% of worldwide container throughput, according to Drewry’s ...

Abstract: Neural operators, such as graph neural operators (GNOs) and Fourier neural operators (FNOs), directly learn the mapping from any functional parametric dependence to the solution and have ...