NanoEdge AI Studio v.2 integrated development environment simplifies creation of machine learning, inference, and classification libraries for direct implementation on Arm Cortex-M microcontrollers (MCUs).
Developers can now go beyond anomaly detection to qualify problems directly in endpoints. Reportedly can develop classification library without usual challenges associated with signal processing and machine learning skills. Features anomaly detection and classification. Is intuitive desktop tool that lets embedded developers focus on solving business problems rather than selecting algorithms. Is optimized for Arm Cortex-M MCUs; consumes as little as 4Kb RAM in typical configuration; performs iterative learning in 30msecs in Arm Cortex-M4 80Mhz.