Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

Affective computing, a field focused on understanding and emulating human emotions, has seen significant advancements thanks to deep learning. However, researchers at the Technical University of ...

Fujitsu Laboratories Ltd. announced the development of software technology that uses multiple GPUs to enable high-speed deep learning powered by the application of supercomputer software ...