In this episode of Embedded Insiders, we take a deep dive into the newly announced HBM4 Memory Controller IP from Rambus, with insights from Fellow and Distinguished Inventor Steven Woo. Rambus is leading the way with its silicon IP portfolio, and Steven shares his perspective on the latest memory industry trends, the challenges it faces, and the impact of AI on memory technologies.

Great hardware is useless without great software, and vice versa. The hardware industry continues to evolve, as always, but the software side operates quite differently than it did in the past, thanks to the groundswell of open-source software.
 

All entries are judged using a 15-point rubric, that assesses design excellence, relative performance, and market impact/disruption. Judging is managed by the ECD Content Team.

The active clamp forward converter is a recognized high efficiency power topology utilizing P-channel MOS for clamping. This design allows for feedback of stored inductance energy to the grid, enhancing overall converter efficiency. To further improve efficiency, a secondary circuit featuring a MOSFET-based self-rectified circuit is incorporated. This article delves into the design challenges of the secondary rectified circuit, highlighting the role of duty cycle optimization. It’s important to note that this is just one facet of the broader power technology employed in the active clamp forward converter.

Embedded Computing Design, the organizing partner of embedded world North America, held on October 8th-10th, is coordinating three hands-on Build your Own Embedded Systems classes.

In the rapidly evolving landscape of automated warehouses and manufacturing facilities, meticulous control over each component of the process is paramount. Even the slightest downtime can result in significant repercussions. Autonomous mobile robots and automated guided vehicles play a vital role in this ecosystem, requiring the implementation of precise monitoring and fail-safe systems.

This article will explain the architecture of real-time safety bubble detection that includes challenges for developing a modular solution, optimizing such a high data bandwidth application to run at 30 frames per second (FPS), and designing a multithread application and algorithm to accurately detect objects close to the ground.