Embedded Computing Design

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.

In today’s rapidly evolving technological landscape, security is paramount. With countless new devices being connected to networks every second, it’s important to ensure these systems meet the critical and modern demands of transparency and trust.

During NVIDIA GTC 2025 from March 17-21, Vecow will exhibit its latest NVIDIA Jetson powered rugged Edge AI computing platforms and solution services for AI Robot, smart agriculture, public safety and industrial applications at Booth 237.

Embedded edge AI IoT solutions today, like wearables, smart home appliances, and factory automation solutions, demand versatility and diversity in connectivity. These low-power IoT applications can benefit from wireless SoCs leveraging Wi-Fi, Bluetooth, and low-power, low-data-rate communication protocols for suitable performance and interoperability.

AI IoT applications today require solutions that enable local processing for real-time decision making, expansive AI capabilities, low-power operations, hardware based security, seamless interaction with other devices or networks, and much more in order to keep up with the demands of modern multimodal consumer, enterprise, and industrial Internet of Things (IoT) applications.

The number of connected devices and sensors deployed at the edge today is growing, and so is the demand for solutions that excel at managing data-intensive tasks, promoting adaptable requirements, integrating advanced processing capabilities, and accelerating time to market.

Intel and OnLogic’s collaborations will be presented in Hall 3, Booth 343 at this year’s embedded world. The partnership’s goal is to promote the future of edge computing with Intel providing processors, while OnLogic designs rugged and reliable industrial hardware.

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.

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.

It’s clear that in today’s fast-paced technological landscape, there’s a growing need for AI that’s not going anywhere anytime soon. The demand for real-time preprocessing, AI inferencing, and enhanced postprocessing is paramount to the acceleration of embedded AI applications like autonomous driving, industrial PCs, detection and tracking, 3D imaging, and more.

Engineers designing, prototyping, and developing embedded applications can benefit from reliable, flexible, and effective solutions that enable them to bring products to market quicker and more easily. These solutions often employ features like low-power capabilities, versatile connectivity, and advanced security.

Doctors are increasingly leveraging AI tools to enhance and advance diagnostics, resulting in improved patient outcomes.

During embedded world, located at Hall 3A, Booth 135, Microchip will deliver a dozen live demonstrations covering a wide range of topics, including networking solutions, video processing and web connectivity, artificial intelligence (AI) and machine learning (ML), industrial automation, automotive technologies, touchscreen and display solutions, sustainability and energy management, security, smart sensors and wireless technologies.

During embedded world, Wind River (Hall 5, Booth 253) will showcase its intelligent edge software that is facilitating new possibilities with AI at the edge from cloud based, cloud native, DevOps solutions to real-time and open-source technologies.

The Embedded Computing Design editorial staff is pleased to present this year’s embedded world Best-in-Show nominees in the following categories:

Reliability, flexibility, and security are some of the many demanding requirements of today’s embedded, IoT, and operational technology applications. But it’s often difficult to acquire all of these capabilities in one solution that also integrates seamlessly into existing systems.

Today, the demand for real-time data processing and large language model (LLM) integration is infiltrating varying industries as IoT devices and edge computing capabilities continue to proliferate. To support this demand, a solution that enables advanced computing, a scalable infrastructure, and a compact design to handle complex workloads is a must.

The demand for AI applications in automation and robotics is rapidly growing, driven by the need for devices that can locally process data, enable real-time decision-making, and efficiently execute complex AI models.

The world of software development is advancing rapidly, and today’s developers are responsible for ensuring the reliability, quality, flexibility, and overall efficiency of modern, advanced systems. But managing and monitoring a wide variety of system insights across the software lifecycle can be overwhelming without the proper assistance.

Today’s growing industrial environments and workflows benefit from rugged, reliable, and flexible solutions tailored to meet various interactive and touch-enabled needs.