AI will translate the clucking of chickens!

A group of researchers in Japan has come up with a way to translate the clucking of chickens using artificial intelligence. Led by Professor Adrian David Cheok of the University of Tokyo, the team includes animal psychologists and veterinary surgeons. David Cheok came to the discussion after researching sex robots before.

In a review of his chicken AI research paper, the AI ​​developed by the researchers is able to detect various emotional states of chickens such as hunger, fear, anger, satisfaction, excitement and pain. They have been able to analyze the deep emotions of animals using this state-of-the-art AI technique.

The technique involves 'complex mathematical algorithms' that can also be used to adapt to the chicken's ever-changing vocal patterns, the researchers say. Over time the 'chicken vocalization' facilitates the perceptual process.

However, since this claim of the researchers is still at the theoretical stage, it is not unreasonable to have some doubts about the translation ability of this AI. But it can be said that it will positively fulfill many needs of chicken and poultry owners.

Because researchers have already recorded and analyzed 80 chicken samples to test the new system. By using these samples in an algorithm, the vocal patterns of chickens were able to reveal different 'emotional states' of the birds. The researchers say they were able to identify the mental state of the experimental chickens with surprisingly high accuracy.

The research team leader said, 'The results of our experiments demonstrate the potential of using AI and machine learning techniques to recognize the emotional states of chickens based on their sound signals. In experiments, the AI learned to capture meaningful patterns and features from the sounds of our model chickens and was able to indicate a high mean probability of detection for each emotion.'

But while the research sounds 'promising', the results should be 'taken with a grain of salt'. The researchers acknowledge that the accuracy of their model may vary with different breeds and environmental conditions, and that 'the datasets used for training and evaluation may not capture the full range of emotional state and variation in chickens.'

As they argue, 'chickens have many other ways of communicating through other non-acoustic cues' such as body language and social interaction. That's why 'creative use of the AI can lay the foundation for a better understanding between roosters and hens and it will be fun', the scientists believe.

In an interview with the New York Post, Cheok, the head of the research team, said that this is a 'clucking' and great achievement for science! This is just the beginning. We hope to adapt these AI and ML techniques to other animals and lay the foundation for incredible intelligence in various animal-related industries. Because, if we know what animals are feeling, we can create a better world for them. And so until the paper gets peer-reviewed, we reserve the results of the research.