In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...

Embedded AI is now one of the most powerful levers available to boards seeking profitability, productivity and long-term competitivenes, reveals Sergio Maccotta, senior vice president and general ...

Structured specifications help AI coding agents build what engineers actually need by capturing intent before code generation ...

Abstract: As the number of cores in multicore platforms increases, temperature constraints may prevent powering all cores simultaneously at maximum voltage and frequency level. Thermal hot spots and ...

In our opinion, ModelOp's Visionary placement reflects the company's Completeness of Vision and its approach to AI agent governance, with governance embedded by design into industrialized AI delivery ...

Floadia Corporation (hereinafter “Floadia”), a Tokyo, Japan-based developer of embedded flash IP (eFlash IP), has announced the release of its latest automotive eFlash IP, G1, implemented on TSMC’s ...

Abstract: Quadcopters and other multi-rotors have attracted significant attention in research due to their wide range of applications, such as surveillance, mapping, and delivery. However, quadcopters ...

This repository contains the code for the paper "Unveil the relationship between process and design embedded in the 3D point cloud using unsupervised learning" by Evans Nyanney and Zhaohui Geng. It ...

Let's not beat around the bush. Most embedded engineers believe they can't test their firmware until the hardware shows up. The board is on backorder, the bring-up team is still fighting the power ...

Physical AI is the latest term for robot and drones with a mix of artificial intelligence (AI) that allows them to be smarter and more robust. The latest crop of physical AI devices integrates more ...