Leveraging Zephyr and ML to Bring Smart Devices to Market Faster

Explore how to effectively implement machine learning on resource-constrained endpoint devices through this keynote presentation by Kate Stewart, Vice President of Dependable Embedded Systems at The Linux Foundation. Learn about strategic approaches to overcome limitations in power, memory, and communication capabilities while achieving system-wide efficiencies using Zephyr RTOS and TensorFlow Lite for Embedded Microcontrollers. Discover essential requirements and critical tradeoffs to consider when developing smart devices, enabling faster market deployment through the integration of these powerful technologies.