Silicon Labs and Edge Impulse look to accelerate ML applications Silicon Labs and Edge Impulse, a development platform for machine learning on edge devices, are collaborating on the rapid development and deployment of machine learning (ML) on Silicon Labs EFR32 wireless SoCs and EFM32 microcontrollers (MCUs). Implementation of the Edge Impulse tool will enable complex motion detection, sound recognition and image classification on low-power, memory-constrained, and remote edge devices. Studies have shown that 87% of data science projects never reach full production, often due to artificial intelligence/ML implementation challenges. This new collaboration between Silicon Labs and Edge Impulse is intended to enable device developers to generate and export the ML models directly to the device or Simplicity Studio, the integrated development environment from Silicon Labs, with the click of a button, implementing machine learning in minutes.