This research examines song dialects in vervain hummingbirds, revealing distinct geographic “dialect neighbourhoods” that change over time. Findings suggest possible open-ended vocal learning, a rare trait in hummingbirds. The study highlights parallels between human and animal communication, showing that even small birds possess complex, learned, and evolving vocal systems.

This project uses hive sound recordings and machine learning to detect early signs of bee swarming. By identifying acoustic differences between swarming and stable colonies, the system predicts swarming with 93% accuracy. This enables beekeepers to intervene early, prevent colony loss, and even create new healthy colonies.