PLS unveiled its Universal Debug Engine (UDE) 2026 at Embedded World in Nuremberg. As well as new features, the range of supported high-end MCUs and embedded processors has also been expanded. Data ...
Qualcomm and Arduino unleash VENTUNO Q that lets AI move offline ...
At embedded world, on the DigiKey booth, Lucy Barnard speaks with Marta Barbero at Arduino, about the new Arduino product announcement.
FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 23 state-of-the-art ...
Abstract: With the rapid development of computer science and the rise of artificial intelligence, people’s daily lives and work methods have undergone significant changes, and intelligent technology ...
A new development board merges single-board computer performance with microcontroller precision, enabling developers to build AI, IoT, and advanced embedded applications on a single compact platform.
The development board runs AI on the device using two processors. It supports voice, vision, and robot control. Find out more!
With VENTUNO Q, AI can finally move from the cloud into the physical world. This platform makes it possible to build machines that perceive, decide, and act — all on a single ...
Named after the Italian word for twenty-one, VENTUNO Q builds on the iconic legacy of the popular Arduino® UNO™ family and embodies the company’s coming of age as it prepares to celebrate its ...
VENTUNO Q eliminates multi-device complexity because it delivers synchronized perception, decision, and action on a single board. The main processor runs Ubuntu and Linux Debian with upstream support, ...
Qualcomm’s Arduino has announced the upcoming launch of Arduino VENTUNO Q, a platform designed for edge AI, robotics, and actuation. The board is powered by the Dragonwing IQ8 Series, providing ...
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Can see through walls: Open-source WiFi tool detects human movement behind walls without cameras
A new open-source project, WiFi DensePose, uses ordinary WiFi signals to detect human movement behind walls without cameras.
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