Edge computing is an emerging IT architecture that enables the processing of data locally by smartphones, autonomous vehicles, local servers, and other IoT devices instead of sending it to be ...

As self-driving cars begin operating in cities, a question remains about how to make them work in rural areas with limited ...

Research from edge computing provider observes enterprise edge AI is now an intrinsic part of core business infrastructure, driven by rapid uptake of agentic operations.

The edge inference conversation has been dominated by latency. Read any survey paper, attend any infrastructure conference, and the opening argument is nearly always the same: cloud inference ...

Officials can modernize legacy code, optimize infrastructure spending and consider computing strategies in cloud environments.

When the commercial, scalable, fault-tolerant quantum computing era really begins, when it becomes widely available, it will ...

A new technical paper, “Performance Analysis of Edge and In-Sensor AI Processors: A Comparative Review,” was published by University of Austria and ETH Zurich. Abstract “This review examines the ...

Tests by the two largest cable operators in the U.S. are a notable development in the use of AI in networks for low-latency, ...

The AI industry's obsession with bigger, faster, and more powerful models may be solving the wrong problem — at least when it comes to the billions of devices operating at the edge. At Embedded World ...

Spectrum is deploying remote graphics processing units (GPUs) at the network edge to support latency-sensitive applications and compute-heavy use cases, using NVIDIA AI Grid reference design over ...

Cloud computing ETFs offer a diversified investment in tech, not picking individual stocks. The investment in these ETFs hinges on rapid industry growth, projected at $2.4 trillion by 2030. Key ETFs ...