End-to-end deep learning pipeline for real-time Bragg peak segmentation: from training to large-scale deployment

Today's article comes from the Frontiers in High Performance Computing journal. The authors are Wang et al., from the SLAC National Accelerator Laboratory in Menlo Park. In this paper, they walk us through a new deep learning pipeline that they're hoping can break a bottleneck and unlock higher data-processing throughput.

DOI: 10.3389/fhpcp.2025.1536471