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 ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

Read more about Future of AI lies in collaborative systems, not single superintelligent models, on Devdiscourse ...

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 ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Neel Somani, a researcher and technologist from the University of California, Berkeley, has seen firsthand how big traffic spikes can trip up even top tech companies. They use distributed systems, ...

Claudio Saes is a partner and telecom practice leader at Bell Labs Consulting, a group of the award-winning Nokia Bell Labs. Since the dawn of time, our ancestors leveraged distributing strategies to ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Decarbonization efforts are rapidly reshaping the electric grid. Distribution systems no longer represent a passive load connected to a substation transformer. Each year brings new significant ...

A distributed system is comprised of multiple computing devices interconnected with one another via a loosely-connected network. Almost all computing systems and applications today are distributed in ...