Following the successful publication of our SparkFun, Arduino, and Espressif guest-edited editions of Elektor, we are thrilled to welcome Edge Impulse, the global leader in edge AI development, as our 2025 Guest Editor. Artificial intelligence is no longer confined to massive data centers. Thanks to increasingly powerful embedded processors and efficient foundation models, AI is moving to the edge, transforming how we live, work, and interact with technology. From compact microcontrollers capable of real-time inference to autonomous robots that learn on the fly, edge AI is revolutionizing modern electronics design. Curated by the experts at Edge Impulse, this edition of Elektor is filled with inspiring projects, step-by-step tutorials, and in-depth articles that help engineers and innovators unlock the full potential of edge AI — from deploying ML models on embedded hardware to optimizing sensor data pipelines and building intelligent systems that think locally and act instantly. Whether you’re exploring on-device AI for the first time or pushing the limits of edge computing, the Edge Impulse Guest-Edited edition is your guide to the future of intelligent electronics. Note: The free Bonus Edition will be released (“declassified”) over a four-week period. The first release will be on December 12.  _{*Available starting Dec 12 — stay tuned!}
 

Daniel Situnayake, Director of Applied Research & Edge AI at Edge Impulse, joined Elektor for a practical webinar, "The Future of Physical AI with Edge Impulse," on how intelligence is moving from the cloud into real hardware. He walked through the current state of edge AI, how foundation models are reshaping what embedded devices can do, and why this shift is unlocking a new generation of robotics, smart sensors, and context-aware consumer products.
 
Daniel explained how engineers can take advantage of modern edge hardware, what Qualcomm’s acquisition of Edge Impulse means for developers, and how to build reliable AI systems that run locally — faster, safer, and without cloud dependency. He also shared insights from his books TinyML and AI at the Edge, and expanded on themes from his article in Elektor’s Edge Impulse Guest Edition.

What You’ll Learn in the Webinar

• How edge AI differs from cloud AI, and why it’s rapidly becoming the default
• How foundation models enable tiny datasets and unlock long-tail applications
• Practical hardware considerations for running ML on MCUs, NPUs and hybrid processors
• New directions in robotics and “physical AI”
• Real-world examples of products already shipping with on-device intelligence
• How to get started with Edge Impulse and build deployable ML models quickly
• A look into the future of intelligent devices and local decision-making

Watch now!


 

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