Explore the intersection of AutoML and TinyML in this hour-long talk featuring Edge Impulse's EON Tuner. Learn how AutoML techniques are making neural network training and optimization more accessible, enabling use-case experts to discover novel applications for machine learning in embedded systems. Dive into the workings of the EON Tuner, which helps select optimal embedded machine learning models within specific device constraints. Gain insights into the unique benefits of AutoML for embedded systems, and discover how to implement these tools in your own projects. The presentation covers Edge Impulse's background, TinyML overview, traditional vs. data-driven engineering approaches, and includes a live demo showcasing the EON Tuner's capabilities. Engage with topics such as neural network design, hardware selection, manual tuning, DSP optimization, and performance considerations. Conclude with an informative Q&A session addressing audience queries on various aspects of the EON Tuner and Edge Impulse platform. Read more