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); ...

To fully digitize the last mile of business, you need to distribute compute power where it's needed most -- right next to IoT devices that collect data from the real world. As technology extends ...

With the emergence of artificial intelligence (AI), smart devices and the Internet of Things (IoT), businesses increasingly need to instantly process large amounts of data, especially for real-time ...

Even as edge computing continues to gain momentum among organisations that are looking to innovate outside the datacentre, enterprise implementations of the technology remain in their infancy. That is ...

In recent years, Large Language Models (LLMs) have revolutionized the field of artificial intelligence, transforming how we interact with devices and the possibilities of what machines can achieve.

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, ...

Commercial-off-the-shelf (COTS) components have enabled a commodity market for Wi-Fi-connected appliances, consumer products, infrastructure, manufacturing, vehicles, and wearables. However, the vast ...

Driven by the significant increase in data transfers, real-time applications and the demand for low-latency, edge computing and the cloud have replaced the traditional computer architecture. The edge ...

CRN highlights 50 companies leading the way in edge computing with hardware, software and services, 25 that are driving IoT and 5G, and 25 that are tackling the security challenges associated with ...