AI delivers value by transforming data into usable intelligence—supporting capabilities such as real-time analytics, anomaly detection, predictive maintenance, and automated decision-making. Meanwhile ...

Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...

Overview: IoT shifts from connectivity to real-time, AI-driven operational intelligenceEdge computing and industry platforms ...

AT&T bolstered enterprise IoT support with a performance monitoring platform that taps into metrics from its traditional 4G ...

As part of CRN’s 2024 Edge Computing 100, here are 25 providers that are specializing in 5G, IoT and edge services. Last year, there were only 25.6 million 5G-connected IoT devices, which made up a ...

Over the past two years, it has become increasingly evident that the boundaries separating human capabilities from machine functions are constantly evolving. This shift presents exciting and ...

Overview: Edge AI processes data locally, cutting latency, boosting security, and enabling real-time decisions without ...

The rise of AI-driven IoT devices is pushing the limits of today’s microcontroller unit (MCU) landscape. While AI-powered perception applications—such as voice, facial recognition, object detection, ...

A study by telecoms specialist Juniper Research has found the global number of cellular internet of things (IoT) devices will increase from 3.4 billion in 2024 to 6.5 billion by 2028. Yet despite the ...