Continuing our look at the work of the IOWN project, we find out what use cases the next evolved generation of the infrastructure will support and which firms are likely to gain.

CRN rounded up 10 of the hottest AI networking tools and platforms that solution providers should know about right now.

In Part I of our series, we identified seven principles (simplicity, layering, openness, end-to-end design, resilience, incremental evolution, and neutral governance) that allowed the Internet to ...

Microsoft has offered a glimpse into the network architecture connecting hundreds of thousands of GPUs across its latest Fairwater AI data center, including a new custom networking protocol developed ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

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 ...

The explosion of AI companies has pushed demand for computing power to new extremes, and companies like CoreWeave, Together AI and Lambda Labs have capitalized on that demand, attracting immense ...

Data center provider Equinix has launched its Distributed AI infrastructure, which includes a new AI-ready backbone to support high-performance AI deployments spanning multiple data center facilities, ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

War is a continuation of politics by other means, but its form and manifestation on the battlefield are directly linked to the intersection of ideas and changing material conditions. 5 In the past, ...