Embedded Computing Design

1NCE is the first company to offer Internet of Things (IoT) connectivity and software service at a lifetime global flat rate – currently available in 110+ countries (140+ by the end of 2022).

The LoRa Edge™ LR1120 is an ultra-low power chip targeting global geolocation applications.

RSL15 is an ultra-low power secure Arm® Cortex®M33 processor-based Bluetooth Low Energy 5.2 wireless System-on-Chip (SoC) designed for connected smart devices in industrial and medical.

Networked devices that connect to the cloud and each other are inherently susceptible to cyberattack. To ensure built-in defenses are robust as possible, these systems must be protected from the time of manufacture until their decommissioning. This includes the unique identities that allow IoT devices to authenticate over PKI infrastructure.

Cybersecurity issues continue to plague modern electronic devices and will only continue to do so as quantum computing becomes mainstream. This powerful new class of processor is poised to break standard encryption and the PKI infrastructure that’s used by desktops, laptops, tablets, IoT devices, network infrastructure platforms, and more to authenticate who, or what, they’re communicating with.

In electronics, the need for greater storage capacity and faster data transfer rates is never-ending. But now, with the explosion of mobile and IoT devices, more space and faster speeds have been joined by the requirement that flash memory and flash memory controllers consume less and less space on resource-constrained device PCBs.

Of course, systems deployed in embedded or industrial environments often need the extra dimensions of robust reliability and extended temperature support as well.

We’re less than two weeks out from Embedded World (June 21-23, Nuremberg, Germany). In the Embedded Computing Design booth (Hall 1, Booth 121), you can view a host of technology presentations.

On this episode of Embedded Insiders, Brandon and Rich explore the imminent ratification of the MATTR standard and what opportunities it could introduce in real, regular life situations.

High-performance computing is now a requirement in the aerospace and defense industry where capabilities like computer and machine vision, AI edge computing, and sensor data fusion are critical to mission success. The massive amount of data captured and processed in these use cases also means high-bandwidth interconnects are required, too.

If you’re looking to deploy this functionality on top of existing infrastructure, like so many in long-lifecycle industries are, you may be staring down the barrel of a massive electronics systems upgrade. Or, you take advantage of solutions like the VPX3U-ORIN-CX6-SBC from WOLF Advanced Technology.

5G connectivity and demand for edge computing have made hyperconverged infrastructure mandatory. If only that infrastructure was user-friendly, easily-deployable, and available off the shelf.

On this episode of the Embedded Insiders, Brandon and Rich discuss whether the IoT is “newer” than M2M or connected embedded, or has the name just changed while the definition remains the same? Perhaps it’s not new, it’s just moved to the edge and adopted “new” capabilities.

Intelligent edge computing appliances frequently demand AI (Artificial Intelligence) technology. When it comes to applications that require intelligent video analysis operating at the edge, having access to an AI accelerator card that can offer offload CPU loading and the instant ability to plug into intelligent transport systems (ITS), smart cities, smart retail, and Industry 4.0 applications to improve performance, is ideal for these compute-intensive operations.

On this episode, the Insiders ponder the future of embedded engineering in light of Arm’s release of its Total Solutions for IoT. How far along in the development process can engineers get virtually, before they even have silicon in their hands?

The importance of security in embedded designs can never be stressed enough. With the expanding cybersecurity threat landscape and lack of security professionals in the workforce, everyday engineers need to be able to implement hardware root-of-trust-grade security in a robust but simplified manner.

On this episode of Embedded Insiders, Brandon and Rich are addressing the increasingly political aspect of the semiconductor supply chain issues running rampant across the globe, and the danger of those issues reaching all the way up to the semiconductor manufacturing equipment itself.

Ruggedized systems require high-bandwidth processing.

On this episode of Embedded Insiders, Brandon and Rich recap a recent visit to DesignCon 2022, where Brandon highlights one of the embedded engineering industry’s rising stars, the Compute Express Link open standard.

Artificial intelligence is the driving force behind so many applications today. From the developers’ perspective, it’s almost a given that AI will play some role in the end application. One such application where AI is making a lot of inroads is public safety and security. Such security is being utilized in everything from airports and railways stations to hospitals and manufacturing facilities. And it can scale from a single room to a large campus or even a city.

New and evolving hardware technologies are making real-time AI inferencing at the edge a reality. These include fluid edge-to-cloud connectivity, expansive networking capabilities, and sustained computational performance at efficient power consumption levels, all of which are designed into Premio’s RCO-6000-CFL AI Edge Inference Computer.

On this episode of the Embedded Insiders, Brandon and Rich review the recent Applied Power Electronics Conference, or APEC, as a proxy for how the industry works post-pandemic and the reality of supply chain demand.