Abstract: Distributed deep learning (DL) training constitutes a significant portion of workloads in modern data centers that are equipped with high computational capacities, such as GPU servers.

While “staffing your company” is imperative and often emphasized, many commanders centralize critical information, leading to ...

Abstract: Gaussian process (GP) training of kernel hyperparameters still remains a major challenge due to high computational complexity. The typical GP training method employs maximum likelihood ...

New research, new tech and new partnerships are pushing blood flow restriction training from rehab niches to the frontline of performance innovation. Cyclingnews investigates whether it's a ...