Embedded Computing Design

Raspberry Pi is now making AI accessible on its platform, tailored specifically for low-power edge applications. The new Raspberry Pi AI Kit is available now for $70 and is ready to help developers experiment and implement with neural networks, artificial intelligence and machine learning on Raspberry Pi 5.

In the world of computer sensing and IoT, vision is the current hot number. Although vibration, weight, scent, and other sensing are extremely useful in their niches, vision is more widely applicable to lots of solutions and uses.

According to a recent release, NXP Semiconductors has partnered with eleQtron and ParityQC, with the QSea consortium of the DLR Quantum Computing Initiative (DLR QCI), to create what is reportedly the first full-stack, ion-trap based quantum computer demonstrator made entirely in Germany. The new quantum computer demonstrator is in Hamburg.

The Matter 1.3 Specification was published this week, and according to the Connectivity Standards Alliance, the new spec enables energy reporting for Matter devices, new entertainment features, support for water management devices, electric vehicle chargers, and new major appliances.

IoT security has been a perennial discussion, and well it should be, since the endpoints that make up the IoT are often the first point of vulnerability in any system, especially at the edge. And with all the need for intelligence, ML, and compute at the edge, the need for a Root of Trust is even more critical now than ever.

Ever since Gordon Moore made his eponymous prediction in 1965, it’s been inevitable that we would reach an end to the ability to keep doubling the processing in individual chips, if only because of the laws of physics (at the macro scale anyway – we’ll cover quantum computing another time!).

In a recent release, Silicon Labs announced its new xG26 family of Wireless SoC and MCU designed for the IoT and, according to the company, its highest performance device family to date.

Synopsys and Samsung have teamed up to announce that they have successfully accomplished the production tapeout for a Samsung high-performance mobile SoC design, according to an announcement this morning.

It’s been coming and growing for quite a while now, but the most obvious trend coming out of this year’s embedded world in Germany was that IoT, AI, and Embedded systems are becoming an ever more entwined horizontal technology layer.

One of the key messages to come out of embedded world in Nuremburg, Germany this year was that Embedded computing is becoming increasingly more entwined with IoT systems and AI applications and that customers are looking for these all-in-one solutions at every opportunity. And it's no surprise that the first fertile furrows to plant are the sensor integration and energy efficiency rows. 

A new ebook on edge technology for industrial computing has come out from Premio, a rugged edge embedded computing and industrial display technology company.

The Software Defined Vehicle (SDV) is the automotive buzzword of the year so far, but most of what we’ve been seeing is either infotainment, or prognostication and promise about Ai-driven automated cars of the future.

One of the major threads running through this year’s embedded world was the growing entwining of IoT and embedded computing. It seemed that almost every player, especially at the edge, was touting their ability to bring AI and IoT to the Edge, with more power and embedded tech.

The power, form factor, and especially efficiency of embedded systems is encouraging more sustainable and eco-friendly solutions all over the world. In particular, materials like GaN are making the compromises much easier to adopt, even at the edge.

Percepio is a Swedish company dedicated to what it calls observability in Embedded systems, and in a series of recent news announcements, it’s shown that the identification and elimination of bugs in software is the core of that observability.

It is a beautiful week here in Nurembug, Germany and embedded world is kicking off big time tonight when we’re announcing the Embedded Computing Design Best in Show Award winners (keep watching this space for that announcement, later today!).

For enterprises and SMBs, knowing that your memory is always reliable, fast, and feature-rich is no longer a “nice-to-have” feature. AI and other high-intensity workloads need to run 24x7 and be available in real-time, at all times.

In a new release, semiconductor company Ambiq has revealed its Apollo510, the first member of the company’s Apollo5 SoC family, designed to drive efficient and low-latency AI processing.

The story of the second day at NVIDIA GTC in San Jose is Embedded AI for Edge, at least that was the story I was hearing again and again from the folks that I talked to on the show floor.

At NVIDIA GTC, NXP Semiconductors and NVIDIA announced a new collaboration to enable NVIDIA’s trained AI models to be deployed on NXP’s portfolio of edge processing devices through the eIQ machine learning development environment.