Researchers studied the impact of daily life movement to cardiovascular disease risk using a machine-learning algorithm and found decrease in risk with increased activity.

New algorithm disentangles intrinsic brain patterns from sensory inputs Date: February 14, 2024 Source: University of Southern California Summary: Scientists have developed a new machine learning ...

The tool is a machine learning-type algorithm called CYCLOPS that can sift through existing data on gene activity in human tissue samples to identify genes whose activity varies with a daily rhythm.

Especially for the elderly in their Activities of Daily Living (ADL), implicit intention recognition using subtle cues could provide them great convenience as well as improving quality of life.

State-of-the-art in-home activity recognition schemes with wearable devices are mostly capable of detecting coarse-grained activities (sitting, standing, walking, or lying down), but can't distinguish ...

In reality, artificial intelligence is encountered by most people from morning until night. Here are 10 of the best examples of how AI is already used in our everyday lives.

When you start a private session on Spotify, all your followers and Spotify's algorithms won't be able to view or track your listening activity.