STMicroelectronics has expanded the variety of machine-learning techniques available to users of the STM32Cube.AI development environment, giving extra flexibility to solve classification, clustering, and novelty-detection challenges as efficiently as possible. In addition to enabling development of neural networks for edge inference on STM32 microcontrollers (MCUs), the latest STM32Cube.AI release (version 7.0) supports new supervised and semi-supervised methods that…