Machine-learning capable motion sensors intended for IoT Qeexo, developer of the Qeexo AutoML automated machine-learning (ML) platform, and STMicroelectronics have announced the availability of STâs machine-learning core (MLC) sensors on Qeexo AutoML. While STâs MLC sensors are able to substantially reduce overall system power consumption by running sensing-related algorithms, built from large sets of sensed data, that would otherwise run on the host processor. By using this sensor data, the Qeexo AutoML can automatically generate highly optimised machine-learning solutions for Edge devices. With ultra-low latency, ultra-low power consumption, and a very small memory footprint these algorithmic solutions are able to overcome die-size-imposed limits to computation power and memory size, with efficient machine-learning models for the sensors that extend system battery life.