Data is the backbone of tech innovation. Storing, processing and managing IT resources and data impacts your tech system’s efficiency and expected output. The advent of cloud computing revolutionized ...

In the rapidly evolving world of IoT (Internet of Things), cloud computing has become a cornerstone for processing, analyzing, and storing large amounts of data. However, as real-time applications and ...

This Collection invites submissions of original research into techniques that facilitate the deployment of cloud, fog, and edge computing technologies, driving advancements in efficient data ...

The energy industry is undergoing a significant transformation, driven by advancements in digital technology and the ever-growing need for real-time data analytics. As energy companies look to ...

Cloud computing and Edge AI are two transformative technologies that play crucial roles in advancing artificial intelligence. Cloud computing provides the computational power and scalability required ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. Defense agencies need to test capabilities they’re considering ...

Latency issues with cloud: AI often demands near-zero latency to deliver actions. "Applications requiring response times of 10 milliseconds or below cannot tolerate the inherent delays of cloud-based ...

Amidst the rapid surge in demand for AI servers driven by the AI boom, edge computing has emerged as the new focal point in the market landscape. Canada-based Green Edge Computing Corp (GECCO), ...

The history of data processing begins in the 1960s with centralized on-site mainframes that later evolved into distributed client servers. In the beginning of this century, centralized cloud computing ...

Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...