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 ...
Analysis of the Evolving Landscape of Ultra-low-power Edge AI Processors (U. of Austria, ETH Zurich)
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 ...
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 ...
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, ...
As self-driving cars begin operating in cities, a question remains about how to make them work in rural areas with limited ...
Abstract: Traditional and cloud-based agriculture face major obstacles due to expanding worldwide populations together with environmental changes along with scarce resources available The paper ...
Abstract: Satellite Mobile Edge Computing (MEC) networks offer a promising solution for delivering global services to terrestrial Internet of Things (IoT) terminals in 5 G and beyond. However, ...
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