Edge computing is crucial for any sort of distributed analytics and substantially reduces the bandwidth of the amount of data traversing a network. Thus, when relying on Wi-Fi, for example, IoT ...

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 ...

In the epoch of artificial intelligence (AI), the demand for real-time decision-making and data-processing applications is rapidly increasing. From autonomous vehicles and surgery robots to smart ...

Reduced latency; Better cybersecurity through a distributed architecture; Lower throughput that decreases network load and costs; and Improved reliability. Just like smartphones brought digital into ...

Abstract: The integration of 5G core networks with edge computing marks a transformative advancement in telecommunications, enabling high-speed connectivity with ultra-low latency for modern ...

CRN showcases the hottest 100 edge computing companies, including the top 25 cybersecurity companies, 25 IoT and 5G vendors, and 50 hardware, software and services edge companies. There are 100 edge ...

Picture this scenario: At 2:37 a.m. during a storm, lightning strikes a distribution feeder line in rural Wisconsin. A massive power surge races through the distribution network. Instead of triggering ...

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 ...

Demos include PC-based and FS42 camera-based deep learning optical character recognition, deep learning anomaly detection on the newly launched Zebra NS42 camera (Credit: Zebra) Machine vision, edge ...