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.

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 ...

A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

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

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

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

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Traditional caching fails to stop "thundering ...

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 ...