Artificial intelligence (AI) is no longer confined to centralized data centers. It is increasingly distributed across edge devices, enterprises, multiple cloud providers, and autonomous software ...

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 ...

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Blockchain hype has been subsumed by the AI hype in the past couple of years. Both these technologies are relatively new. AI has a longer pedigree, going back in concept to the Golem and human ...

The specification will support distributed workflows coordinated across various development and execution environments. These workflows may be carried out by physical devices, virtual devices or ...