The world is a big place, and there’s way more happening on it than any of us could ever keep track of. New creatures, wild landscapes, mind-blowing discoveries—they just keep coming. And honestly, ...

The Nemo10 is a compact and low-cost embedded device server that is designed for OEM users who are wishing to embed ethernet connectivity directly onto the circuit boards of equipment like security ...

Abstract: Machine learning-based embedded systems employed in safety-critical applications such as aerospace and autonomous driving need to be robust against perturbations produced by soft errors.

Leveraging ST’s 40-nm process and an Arm Cortex-M33 core, STM32C5 MCUs deliver increased speed for cost-sensitive embedded devices. The microcontrollers run faster than many entry-level chips, ...

TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, today announced that it has begun sampling new Universal Flash Storage 1 (UFS) Ver. 4.1 embedded memory devices with ...

SAN JOSE, Calif.--(BUSINESS WIRE)--KIOXIA America, Inc. today announced that it has begun shipping evaluation samples 1 of embedded flash memory compatible with the next-generation UFS standard, UFS 5 ...

Alibaba Tongyi Lab research team released ‘Zvec’, an open source, in-process vector database that targets edge and on-device retrieval workloads. It is positioned as ‘the SQLite of vector databases’ ...

Every modern wireless device is expected to be fast, intelligent, power-efficient and always connected. When engineers seek reliable ways to deliver that intelligence without adding unnecessary ...

Cesanta Software introduced Mongoose Wizard – a no-code visual tool that enables embedded developers to effortlessly build a professionally looking device dashboard (WebUI) and REST API without ...

When I first started experimenting with networks as a teenager, I was mostly driven by curiosity and the need to make things work better. I had no idea those experiments would become so relevant ...

Artificial intelligence (AI) is moving from cloud-first architectures to edge-first designs, so more processing now runs on phones, cameras, and embedded controllers. Running inference on-device cuts ...

Artificial intelligence (AI) is rapidly moving to the edge with demand for intelligent edge devices exploding, but many developers still struggle to fit powerful models onto tiny microcontrollers.