Demo of NVidia Deep Learning models using Jetson Nano, ROS Mapping and Navigation with TutrleBot 3 Burger, ROS Arduino demo, and various thoughts about a Raspberry Pi based ROS handset. I've been ...

These systems depend heavily on data annotation to train AI/ML models that enable real-time perception and decision-making. Raw data is collected from a suite of sensors, including LiDAR, radar, ...

Eagle Eye Networks has introduced Eagle Eye Precision Person & Vehicle Detection, an AI-powered feature that runs entirely in ...

Analog Devices has teamed up with Antmicro to train two of ADI's Cortex-M4 microcontollers to implement AI-at-the-edge. The ...

Eagle Eye Networks, the global leader in cloud video surveillance, today introduced Eagle Eye Precision Person & Vehicle Detection. This AI-powered feature runs entirely in the cloud, and works on any ...

AI-assisted design methods now allow for automated optimization, drastically shortening development cycles while boosting ...

EndureAir is building full-stack drones to become India’s answer to high-altitude logistics, defence surveillance, and ...

Wavesys has integrated comprehensive set of event rules & filters that enable security teams to set parameters for intrusion ...

The increase in precision agriculture has promoted the development of picking robot technology, and the visual recognition ...

By automating the end-to-end machine learning pipeline, it empowers less-experienced developers to build high-quality models ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

AutoML for Embedded is available now on Visual Studio Code Marketplace and GitHub.