how does Apple Watch use machine learning?

Apple Watch utilizes machine learning in several ways to enhance user experience and provide intelligent features. For instance, machine learning is used to intelligently provide actions based on the context of messages, such as sharing your location through Find My. The Smart Stack feature on the Apple Watch uses machine learning to improve its prediction algorithm by fusing on-device data like points of interest and location, along with trends from your daily routine, to accurately predict features that could be immediately useful to you. This allows the Apple Watch to be more proactive and provide relevant notifications and suggestions based on your environment and activities.

Additionally, machine learning is integral to health-related features on the Apple Watch, such as ECG and heart rate monitoring, which are powered by on-device machine learning models. These models run entirely on the device, ensuring privacy and low latency, thanks to the powerful Apple silicon that includes ML accelerators in the CPU, GPU, and neural engine.

For more detailed insights into how machine learning is leveraged across Apple platforms, you can refer to the session Explore machine learning on Apple platforms (02:05).