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 ...

New research suggests that modern AI systems, especially large language models, cannot be understood in isolation but must be ...

Artificial intelligence (AI) is no longer confined to centralized data centers. It is increasingly distributed across edge ...