Development boards–i.e. Dev boards–like the Arduino Uno and Raspberry Pi Pico are synonymous with custom technology and new gadgets. When it's time to upgrade your device from one-off to product, you may instead need a custom production PCBA (Printed Circuit Board Assembly). Such customized boards a...

Technologies like AI, machine learning, Cloud and Edge computing, and vision combine with the industrial IoT to permit various aspects of smart manufacturing. Such technologies can greatly bolster operational efficiency, cybersecurity, and infrastructure compatibility, while increasing yields and ex...

Cost to attend: $30 US. In this three-hour, hands-on workshop, developers will quickly learn to use state-of-the-art AI models to add cutting-edge features in embedded devices. With ample tech support on hand, you will develop a practical understanding of resource tradeoffs in edge AI applications w...

Cost to attend: $30 US. Learn the latest in wireless IoT systems with NXP’s FRDM RW612, FRDM MCX W71, and sensing platforms, and take the hardware home with you. Fueled by new standards like Matter, the need for Wi-Fi, Thread, Zigbee, and Bluetooth LE in IoT continues to expand, with IoT devices lik...

Cost to attend: $30 US. This three-hour, hands-on workshop will introduce PIC64, Microchip’s 64-bit MPU, and the Curiosity board that can be used to evaluate the PIC64. Attendees will learn how to get started running Linux and the basic commands available on the kit. Next is a look at the Zephyr RTO...

Cost to attend: $30 US. In this three-hour, hands-on workshop, you will explore how the NXP FRDM Ecosystem simplifies AI and machine learning (ML) development, reducing complexity and providing all the necessary tools to accelerate your AI/ML journey. Using the new i.MX 93 Application Processor FRDM...

Cost to attend: $30 US. Embedded software developers are being asked to design increasingly complex software solutions, on higher-speed buses across multiple architectures, with smaller teams and shorter times to market. The complexity challenge is constantly increasing, at the same time that develo...

In 2024, we spent a lot of time talking about AI, trying to understand its potential, and what pieces were required to make it a reality. In 2025, we are putting those various bits of information into play. Those “bits” start with determining where the AI processing should occur. Then the engineers...