Researchers have developed an innovative animal-borne data-collection system assisted by artificial intelligence to track previously unobserved behaviors in wild animals. The method uses low-cost sensors to automatically detect and record behaviors of specific interest. The new system greatly outperformed previous random sampling methods in capturing the target behavior and the researchers were able to observe previously unreported foraging behaviors in gulls. These findings can be applied to support further data collection in the wild.