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.

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.

Today’s embedded processors are tasked with supporting advanced AI workloads that also enable power efficiency and low latency. Additionally, customers also need solutions that are flexible, scalable, and easy to develop in various environments, and sometimes under stringent circumstances.

Open-source AI hardware solutions are often designed to be an easy and accessible way for students, hobbyists, and even professional developers, to get started with their AI application development projects. These computing platforms typically utilize an industry form factor that can further support robotics, facial recognition, touchless HMIs, and real-time automation projects.

High-performance computing (HPC) applications are responsible for managing large amounts of critical data. There is also a growing demand to ensure that this data remains secure during transmission and storage, especially in extreme environments.

Despite the fact that most of the hype around advanced driver assistance systems, or ADAS, is focused on getting closer to consumer autonomous driving, the real mass of implementations and driving force behind the technological advancements that have been made recently is in the fleet and commercial spaces.

Embedded and edge computing designs can often benefit from out-of-the-box hardware solutions that eliminate the need for extra components like FPGAs but can still support safety-critical and high-performance applications like smart city and smart factory applications.

On this episode of Embedded Insiders, we’re featuring a group of AI experts all hailing from vendors based in Taiwan. The vendors, certainly leaders in their own right, are DFI, ASUS IoT, and Shuttle, and they all feature IoT products, or in this case, AIoT products. The event was organized by the International Trade Association (TITA). Give it a listen.

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

The Embedded Computing Design editorial staff is pleased to present this year’s embedded world Best-in-Show nominees in the Wired & Wireless Connectivity (Including IoT & Industrial) category:

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

The Embedded Computing Design editorial staff is pleased to present this year’s embedded world Best-in-Show nominees in the MEMS & Sensors category:

The Embedded Computing Design editorial staff is pleased to present this year’s embedded world Best-in-Show nominees in the Microcontrollers, Microprocessors, & IP category:

The Embedded Computing Design editorial staff is pleased to present this year’s embedded world Best-in-Show nominees in the Memory & Storage category:

The Embedded Computing Design editorial staff is pleased to present this year’s embedded world Best-in-Show nominees in the Development Tools & Operating Systems category:

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

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

Industrial Internet of Things (IoT) applications benefit from dependable and robust solutions, capable of high-performance and processing capabilities at the edge. Applications like these also perform tasks in real-time via IoT devices and sensors that process large amounts of data, further stressing the need for significant computational power, flexibility, and connectivity.

The Embedded Computing Design editorial staff is pleased to present this year’s embedded world Best-in-Show nominees in the Analog, Power, & Related Components category:

The Embedded Computing Design editorial staff is pleased to present this year’s embedded world Best-in-Show nominees in the AI and Machine Learning category: