As edge nodes become smarter, the need for microcontrollers to provide real-time analytics and take action has emerged. This webinar will provide an overview of the key building blocks that Infineon delivers to our customers looking to deploy machine learning on the edge. It all starts with a robust, high performance microcontroller that can support both inferencing and command on the target platform. Introducing the PSoC™ 6 Microcontrollers, integrating ultra-low-power consumption, flexibility, and hardware-based security – all purpose-built for the connected edge.

To help reduce time-to-market Infineon have developed and released it’s ModusToolbox™ ML tools to deploy a common machine learning framework to the device as well as providing wider ecosystem support for our partners. The dual core CPU architecture, integration of on-chip memory, and various digital / analog / communication peripherals enables integration of various system functions in a single PSoC™ 6 MCU.

During this webinar you will learn how to build and deploy machine learning on the edge using:

  • ModusToolbox™ ML for optimization and cycle accuracy
  • Picovoice for intent detection
  • SensiML for training and inference