Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...

Autonomous edge infrastructure can act to solve a problem before humans have even seen that there is a problem.

At the 2025 MRAM Forum major foundries talked about automotive applications, magnetic field sensitivity and MRAM ...

MTH6, a compact industrial system designed for edge AI and embedded applications. Based on Intel Core Ultra processors Series 1, the system targets deployments where computing density, connectivity, ...

Urban systems rely on continuous data streams from heterogeneous sensors embedded in roads, vehicles, buildings, medical ...

A booth demo highlights why the Cognex In-Sight 3800 makes quick work of executing inspection tasks on high-speed ...

By Glen Gulyas, President, Available Networks In October 2025, a single technical glitch brought down Amazon Web Services for ...

Systems designed Darsi Pro for multi-sensor connectivity and cloud-based device management for robotics and other uses.

Explore what "bleeding edge" technology means, its risks, benefits, and real-world examples. Learn how it compares to cutting-edge innovations.

EMASS, a Nanoveu subsidiary with next-generation semiconductor technology, today announced that its next-generation ECS-DoT SoC built on a 16nm process node has entered the final phases of development ...

As artificial intelligence (AI) and edge computing continue to accelerate worldwide, industrial displays are undergoing a ...

Understand the critical differences between edge gateways and historians to make informed decisions about collecting, ...