Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

The study underscores that traditional statistical approaches, while valuable, often fail to capture the intricate relationships between environmental, temporal, and situational factors leading to ...

More information: Jason Wu et al, Prediction of Adeno-Associated Virus Fitness with a Protein Language-Based Machine Learning ...

A research team led by Prof. Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, ...

I compared Strava's new race predictions against Garmin's race widget, and the differences between them are telling.

The popular running app Strava is tapping into the power of artificial intelligence and machine learning to help runners ...

Researchers have found in a new study that Machine learning shows promise in predicting treatment outcomes in early childhood ...

One of the most promising aspects of AI in wildfire management is its capacity to detect complex, nonlinear relationships across massive, multidimensional datasets. Traditional fire prediction models ...