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 ...

With the emergence of artificial intelligence (AI), the internet of things (IoT), and 5G, the demands on computing technology are greater than ever. To exceed them, new information technology (IT) ...

Oscar De Leon is an IoT Specialist and global business development expert at CDW. Picture this scenario: A pedestrian ignores a don’t-walk signal and steps into a city crosswalk late at night. The ...

As digital transformation reshapes the technology landscape, one trend stands out: The swing of data computing from a centralized cloud model to a more distributed form. Gartner forecasts that a ...

In this special guest feature, Phil White, CTO at Scale Computing, discusses how HCI and edge computing will greatly benefit the advancement of AI and details how the ability to locally store and ...

Meta’s latest release of the Llama 3.2 model marks a significant advancement in AI, particularly in edge computing and on-device AI. Llama 3.2 brings powerful generative AI capabilities to mobile ...

Cloud vs edge computing represents a fundamental shift in how organizations manage, store, and process data. While traditional cloud computing centralizes massive computing resources in data centers, ...

Field services are undergoing a fundamental transformation, driven by agentic AI, edge computing and selective use of 5G connectivity. As these technologies advance, field operations will become ...

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 ...

Retail is no longer just about selling products; it’s about creating seamless, real-time experiences that meet the speed and expectations of today’s consumers. In this rapidly evolving landscape where ...

Helpful but not required: experience with embedded systems and microprocessors (e.g. COMP_ENG 346, 347, 366, 355), basic understanding of signals and systems (e.g. COMP_SCI 213, ELEC_ENG 222); ...