There’s no denying that Embedded World (EW) is a whirlwind – 1000 exhibits, 35,000 visitors and over 2,000 industry participants – but now that it’s all over and the dust has settled, I wanted to take a moment to reflect on its impact, and consider the…

Face verification has long been considered one of the greatest challenges in the field of computer vision, so we're proud to have designed a face verification system that achieves 98.36% accuracy on the Labeled Faces in the Wild database. It’s a real…

This article is part of the Arm Innovator Program, a series created to highlight the work of key technical leaders who are pushing the boundaries of how Arm architecture can enable next-generation solutions.

Meet Ibrahim Abdalkader, an embedded systems…

Neural Networks are becoming increasingly popular in always-on IoT edge devices performing data analytics right at the source, reducing latency as well as energy consumption for data communication. CMSIS-NN is a collection of efficient neural network…

It IS possible to optimize neural network architectures to fit within the memory and compute constraints of microcontrollers – without sacrificing accuracy. We explain how, and explore the potential of depthwise separable convolutional neural networks…

The Smart Home market is now at an inflection point. Early devices in the market were connected to the internet but were typically single-function, often lacking connectivity to other devices and with closed APIs, denying the user the ability to design…