The enterprise shift toward distributed systems of specialized AI agents is happening because reality is complex, and when ...

Research published in Advances in Computer and Communication establishes frameworks for integrating Role-Based Access Control and Attribute-Based Access Control within large-scale distributed ...

Here's why the next great AI company won't own a data center — and what that means for founders.

For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...

In 2026, enterprises will be expected to automate processes that involve judgment, negotiation, compliance interpretation, ...

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 ...

Traditional technical debt metaphors suggest something that can be paid down incrementally. Over-engineering does not behave ...

While facing rising costs and workforce shortages, healthcare systems across Asia-Pacific have been exploring ways to make healthcare services more accessible by shifting to a data and digital-enabled ...

What is a distributed system? A distributed system is a collection of independent computers that appear to the user as a single coherent system. To accomplish a common objective, the computers in a ...