Picture this scenario: At 2:37 a.m. during a storm, lightning strikes a distribution feeder line in rural Wisconsin. A massive power surge races through the distribution network.

China has launched 12 satellites, which experts describe as the world’s first operational space-based computing network, applying edge computing principles to orbital operations in a development ...

The edge storage (computing) system based on blockchain technology can solve this problem. Devices can store data in edge nodes closer to them, which can reduce the delay of data transmission.

It’s ideal for specialised blockchain IoT tasks, particularly those involving AI-driven edge computing and ML inference. Coral’s Edge TPU offers low-power, high-performance AI processing, making it ...

The convergence of edge computing and AI is revealing something far more significant than a technical evolution — it’s unveiling a fundamental restructuring of the AI infrastructure economy.

With generative AI, LLMs, IoT, cloud adoption, real-time data processing, and the demand for low-latency apps driving computing capacity to unprecedented levels, the Edge computing marketplace is ...

More information: Yuya Fujiwara et al, TGBNN: Training Algorithm of Binarized Neural Network With Ternary Gradients for MRAM-Based Computing-in-Memory Architecture, IEEE Access (2024). DOI: 10. ...

In the final installment of the Vertiv Edge Computing Innovation Day, DCD’s Alex Dickins sits down with three experts from Vertiv to discuss the realistic roadmap for distributed computing.Joining ...

Architecture – Edge Computing: Processes data directly on the device or at a nearby gateway. The primary focus is on reducing latency by processing data as close as possible to the source.