Abstract: The performance of robots in high-level tasks depends on the quality of their lower level controller, which requires fine-tuning. However, the intrinsically nonlinear dynamics and ...

Abstract: A finite-difference time-domain (FDTD) subgridding method is proposed to efficiently and accurately solve 3-D electromagnetic problems. Based on the reciprocal and symmetric interpolation ...

Compared to other frameworks, Burn has a very different approach to supporting many backends. By design, most code is generic over the Backend trait, which allows us to build Burn with swappable ...

Burn is both a tensor library and a deep learning framework optimized for numerical computing, model inference and model training. Burn leverages Rust to perform optimizations normally only available ...