AI unlocks the emotional language of animals

Researchers at the University of Copenhagen trained an AI model to detect emotions in seven ungulate species with 89.49% accuracy by analyzing vocal patterns. This breakthrough could improve animal welfare, livestock management, and conservation efforts through real-time emotion monitoring. The findings suggest that vocal expressions of emotions are evolutionarily conserved. The researchers' database is publicly available for further studies.