Edge Computing

The immersive experience requires ultra-low latency and increased bandwidth connectivity. Are we there yet? — Feeling on edge these days? You’re not alone. With the physical reality turmoil we’re experiencing as a nation — senseless gun violence, Roe vs. Wade overturned, skyrocketing inflation, and so it goes — no wonder more and more entities are looking into virtual 3D avenues. Even computing powers have been…

The Eclipse Foundation launched its Edge Native working group in December 2019. Since then, I have been working with its members to drive our strategy and vision forward. At the time, we decided to build a code-first working group aiming to streamline production Edge deployments through EdgeOps. …

How to build a key component of sustainable and clean energy using machine learning at the edge — Introduction The goal of non-intrusive load monitoring (NILM) is to recover the energy consumption of individual appliances from the aggregate mains signal, which is a measure of the total electricity consumption of a building or house. NILM is also known as energy disaggregation and both terms will be used interchangeably in…

Introduction Edge computing is a distributed computing topology that focuses on bringing computation as close as possible to the data source, to minimize the latency and bandwidth use. This results in needing to run fewer processes in the cloud. These can also be moved to local places such as an…

To compete with online shopping, retailers have to bring the advantages of technology to their in-store experience. However, that’s easier said than done. Delivering the best customer experience often means bringing complex hardware into the store. Embracing “edge computing” creates a host of challenges that retailers have to contend with. …

This article is an overview on how companies can benefit of Onteon for edge computing in manufacturing. It references to “Edge Computing in the Context of Open Manufacturing” document, created by Open Manufacturing Platform — IoT Connectivity Working Group. Reference use case in the OMP document distinguish 3 levels —…

Until a few years ago, deep learning was a tool that could hardly be used in real projects and only with a large budget to afford the cost of GPUs in the cloud. …

What is Edge AI: Edge AI enables abilities in devices to run data processing and data analytics locally on the device using data that they create so that they can make decisions in the form of output without the need to take the data to the cloud each time. How Edge…