Embedded Computing Design

With all the buzz around AI and virtualization, especially with the focus on Digital Twin in the embedded systems space, companies are getting loaded up with processing, memory, and applications tailored to deploying these sophisticated modeling and (eventually) predictive AI tools.

Embedded Computing Design’s Road to Embedded World will highlight a host of embedded suppliers who will be showcasing their latest products and technologies at Embedded World, April 9th to 11th in Nuremberg, Germany. Embedded World is the largest global gathering of its kind. Check back regularly to see where the Road to Embedded World takes us.

Embedded Computing Design’s Road to Embedded World will highlight a host of embedded suppliers who will be showcasing their latest products and technologies at Embedded World, April 9th to 11th in Nuremberg, Germany. Embedded World is the largest global gathering of its kind. Check back regularly to see where the Road to Embedded World takes us.

SCADA, or supervisory control and data acquisition systems, are key components of modern industrial operations, designed to monitor, control, and manage various processes and equipment in industries such as manufacturing, energy storage, water treatment, transportation, and telecommunications.

Computer vision is often thought of as the key that unlocks true industrial automation, and opens the door to low-presence, or even so-called “dark factories.”

The Embedded Computing Design editorial staff is pleased to present this year’s 2024 NVIDIA GTC Best-in-Show winners in the Development Tools & Operating Systems category:

The Embedded Computing Design editorial staff is pleased to present this year’s 2024 NVIDIA GTC Best-in-Show winners in the Computer Boards, Systems, Components & Peripherals category:

To kick off the ninth installment of Engineering Heroes, we’re doing something a little different.

The place where Edge Computing meets AI is where every company wants to be, if it’s trying to get a piece of the explosive growth occurring thanks to the Fourth Industrial Revolution. And square in the center of that critical intersection is the Inference computer.

Introducing the QNX Software Development Platform 8.0, High performance meets safety and security with QNX® SDP 8.0.

Today’s growing applications require versatility, among a host of other capabilities, that allow developers to leverage the benefits of multiple platforms in a single solution. Applications like these demand modern solutions, further necessitating real-time processing, customizable hardware acceleration, parallel processing capabilities, and more.

There are a wide variety of sensing and conversion-based applications that can benefit from the use of a tool that’s designed to support engineers looking to process signals. Tools like this would allow them to make better-informed design decisions while also enabling the integration of these applications into larger systems.

Enabling wireless communication capabilities in electronic devices requires a system-on-chip (SoC) that supports seamless integration, reliability, flexibility, power and cost efficiency, and more. Wi-Fi and Bluetooth are two wireless connectivity solutions deployed in range of electronic devices with these features in mind.

Welcome to the fifth installment of Scoping Out the Software-Defined Vehicle, a series brought to you by the Eclipse Foundation to take an inside look at one of the top trends in the embedded space — software-defined vehicles. In this installment, we spoke with Masato Endo, group manager of Toyota Motor Corporation's open source program group, about building an open platform for use in SDVs.

Power electronics are the underlying technologies behind most, if not all, of the advances that are part of the ongoing Fourth Industrial Revolution of connectivity and automation.

Mission critical applications and embedded design systems, from automotive infotainment systems and software-defined vehicles to industrial robots and other next-generation IoT systems, require the efficient operation of a software platform that makes real-time performance, safety and security, scalability, and reliability a priority.

Semiconductor manufacturing is an extremely complex process. It’s been that way since the first wafers rolled off the line but is getting far more complex with every generation of devices.

Attend this three-hour training session, and literally walk away with the latest hardware and software to serve as the foundation of your Edge AI application. Work with AI-native Edge-AI compute solutions and be among the first developers to use the Synaptics Reference Developer Kit, which offers you a chance to get ahead of the curve in a classroom environment. You’ll be trained on the tools that enable real-world AI capabilities to be deployed on your Edge AI application.

The needs of embedded computing applications are constantly evolving, requiring versatile feature sets, rapid processing needs, reliable ruggedness, and more. The ability to maintain flexibility and programmability in one solution enables applications like automotive, industrial automation, AI & ML, IoT, and image and video processing to efficiently progress along with the ever-changing high-performance needs.

The push to bring processing closer to the edge is undeniable, and the demand for embedded systems to provide that processing with AI, ML, and IoT capabilities is only going to continue to grow in every vertical.