AI Detects Animal Emotions

This is a news story, published by Phys Org, that relates primarily to the University of Copenhagen news.

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universal animal emotion translator

Phys Org

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Science

Decoding emotions in seven hoofed species with AI

Summary

Nutrition label

89% Informative

Researchers from the University of Copenhagen have successfully trained a machine-learning model to distinguish between positive and negative emotions in seven different ungulate species.

By analyzing the acoustic patterns of their vocalizations, the model achieved an impressive accuracy of 89.49% .

The research offers insights into the evolutionary origins of human language and could reshape our understanding of animal emotions.

VR Score

Informative language

Neutral language

Article tone

informal

Language

English

Language complexity

Offensive language

not offensive