Embedded Computing Design

According to a recent release, Synopsys has released the first complete PCIe 7.0 IP solution consisting of controller, IDE security module, PHY, and verification IP.

Smart homes, wearables, and small form-factor applications are confronted with meeting the versatility, energy efficiency, space constraints, and future-proof demands of today’s modern devices. In addition, these devices are also expected to provide seamless connectivity and performance with features like advanced, integrated wireless connectivity.

It’s easy to see that the future of embedded computing is entwined with computer vision, image processing, and other optical sensing and computational tasks. Everything from data collection to AI-driven facial recognition is reliant upon high-end embedded systems to manage the processing of those data and outputs, whether in the cloud, at the edge, or inside on-prem servers.

On this episode of Embedded Insiders, Senior Technology Editor, Ken, and Errol Leon, System Engineering & Marketing Manager of Robotics at Texas Instruments (TI) discuss the work of robotics in collaboration with humans and the role of motor control, board-to-board communication and sensor fusion in the future of robotics.

But first, Rich and Ken recap a recent trip to Taipei for COMPUTEX 2024.

High-speed data transfer, simplified wiring, and strong signal integrity are important features of high-speed serializers and deserializers (SerDes) devices.

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.

A growing number of designs in just about every application space are turning to AI for a plethora of reasons. As such, the technology is becoming an increasingly popular tool for the engineering community. The reasons for its popularity are many. For example, the end product can be more efficient by automating repetitive tasks, sifting through vast amounts of data for insights. By analyzing user behavior, market trends, and other relevant data points, designers can make more informed choices, leading to more effective designs.

System-on-modules, or SoMs, are small form-factor computing devices, or small computers, that combine critical components onto one PCB, typically measuring under 80 mm on a side. These devices often feature a processor, some memory and storage, and networking, audio, and video interfaces, all with varying specifications depending on your application's needs.

Medical computing solutions, such as all-in-one medical cart panel PCs, are designed to support the growing need for mobility in healthcare environments. Mobile computing solutions like these support advancements in digital healthcare services, as well as the overall need for safe, flexible, and modern medical products.

Compared to their outdoor counterparts, indoor mobile robots are relatively easy to design, as they generally don’t have to worry various weather elements, difficult flooring that needs to be traversed, or unexpected obstructions. The indoor robot is designed to navigate and operate in places like homes, offices, warehouses, hospitals, or factories. These robots use a combination of sensors, software, and sometimes artificial intelligence to understand and interact with their surroundings.

On this episode of Embedded Insiders, Rich and Vin are taking over with a Dev Talk featuring Matt Johnson, the CEO of Silicon Labs. Continuing their “CEO takeover,” the two are deep-diving into Matt’s background, journey with the semiconductor manufacturing company, and his opinion on how  AI will affect incoming engineers. 

But first, Rich and Ken are calling out Intel. If you didn’t know, Intel acquired Altera in 2015, however, we've still got some questions about the company’s expansion and presence in the FPGA market.

In a recent release, Rapidus Corporation, a semiconductor company, and Esperanto Technologies, a RISC-V computing solutions provider, announced a new partnership and Memorandum of Cooperation.

AI-enabled robotics and autonomous mobile robots (AMRs)  are more frequently integrated into critical, industrial environments that rely on efficient, high-speed data transfer between systems like automotive cameras and sensors. 

Global connectivity, compatibility, flexibility, performance optimization, and reduced complexity are critical components during the development of IoT devices. For IoT products such as tracking, telematics, and other scenarios that demand extensive worldwide coverage, it is important to leverage solutions that simplify connectivity for deployments such as those for both the developer and the end user. 

On this episode of Embedded Insiders, Alexander Kain, Skyworks Solutions’ Senior Principal Artificial Intelligence Systems Engineer joins the podcast to discuss his company’s advanced AI noise suppression, designed to reduce noise in a variety of environments and applications. 

Industrial enterprise, edge, and data center environments require the reliable and consistent performance of the devices that operate within them. With many of these devices being safety-critical, they must support ruggedization, high-performance capacities, and power and thermal efficiency.

The Industrial computing space is getting more complicated all the time, and it can seem daunting when looking at the breadth of offerings and options available. A great place to start is with the “building block” approach.

On this episode of Embedded Insiders, we’re discussing the evolution of processor cores, multitasking capabilities, future trends involving processor design, and more with Aaron Frank, senior product manager at Curtiss-Wright Defense Solutions. 

Fibocom, a global provider of IoT (Internet of Things) wireless solutions and wireless communication modules, announced it is proud of winning the Embedded Computing Design’s Best in Show award during Embedded World 2024 with groundbreaking empowerment and excellent performance of its 5G premium smart module SC171 in the 5G mining industry.

Software development processes are becoming increasingly challenging as newer and more advanced technologies are pushed to the forefront. Developers need software solutions that continuously support code quality, productivity, reliability, and the ability to utilize high-quality software efficiently and effectively in various applications and industries.