AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

Azure Machine Learning provides comprehensive, end-to-end support for the entire machine learning lifecycle, from data preparation to model deployment and monitoring, making it easy to get started ...

AI tool enables developers to build and deploy robust, resource-intensive machine learning models on edge devices ...

The rise of FML allows systems to become progressively more intelligent and autonomous by using on-device data and sharing only encrypted model updates.