Itron's Nick Tumilowicz asserts a need for an integrated approach to grid management that processes and acts on real-time data at the edge.

The Automotive Edge Computing Consortium today announced the publication of the white paper, Distributed Computing in an AECC System, V 1.0.0.

For AI agents to function effectively at the edge, they require structured and reliable context about the environments in ...

Edge computing is a distributed computing design that moves computation and data storage closer to the edge of a technology provider’s network to provide a more responsive experience on a device.

The core of this patent lies in optimizing the collaborative control of distributed robots through data processing at the edge. Specifically, the method first collects environmental spatial data and ...

Edge computing systems in grid environments must meet several critical technical requirements. Protection functions require response times of 4-16 milliseconds to prevent costly equipment damage ...

Rather, many of the functions traditionally performed centrally will now be distributed among grid edge controllers positioned strategically across the distribution system.

While the advantages of containerizing edge workloads are clear, there are several best practices and common pitfalls to keep in mind.

Edge computing devices can provide a distributed private network for suitable emerging technologies, such as Blockchain, for example,” he noted. Edging Toward the Future ...

Edge computing systems that utilize advanced AI algorithms can execute real-time data processing and decision-making within a network to maximize overall performance. Edge computing can also help ...