Researchers are leveraging artificial intelligence to enhance the understanding of animal emotions and pain responses. Notable projects, such as the Intellipig system, analyze pigs' facial expressions to notify farmers of distress signals. Additionally, the University of Haifa's facial recognition software is adapting to identify discomfort in various animals. While initial human observations are crucial for training these AI systems, a breakthrough study from the University of São Paulo demonstrated an AI's capacity to independently predict pain in horses with an 88% accuracy by analyzing postoperative images.
Researchers are developing AI systems capable of identifying pain and emotions in animals through facial recognition, enhancing animal welfare by alerting farmers of distress signals.
The Intellipig system analyzes pigs' faces to notify farmers of pain or emotional distress, showcasing AI's potential in improving animal care.
A University of São Paulo researcher achieved an 88% success rate in using deep learning to recognize pain indicators in horses by analyzing photos pre and post-surgery.
AI tools rely on initial human observations to train systems effectively, allowing for the detection of discomfort in animals, leveraging long-term behavioral studies.
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