AI models are rapidly increasing in complexity, demanding more powerful computing resources for effective training and inference. This trend has sparked significant interest in scaling computational ...

Distributed algorithms for graph problems represent a vibrant area of study that addresses the challenges of decentralised computation across interconnected networks. By partitioning complex graph ...

Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...

A new study by Botond Szabo (Bocconi Department of Decision Sciences) lays the cornerstone for more accurate, reliable, and interpretable distributed computing methods. In the world of big data, when ...

The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a ...

Poor utilization is not the single domain of on-prem datacenters. Despite packing instances full of users, the largest cloud providers have similar problems. However, just as the world learned by ...

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 ...

Azure Local, powered by Azure Arc, is reshaping the landscape of distributed computing by bringing cloud capabilities to affordable hardware at remote locations. This innovative approach addresses ...