A group of Japanese researchers have claimed a way to translate the sound of chickens using Artificial intelligence they have found!
A team led by University of Tokyo professor Adrian David Chuke has developed a system that is capable of investigating different emotional states in chickens, including hunger, fear, anger, satisfaction and distress, using advanced artificial intelligence techniques. The technique, they say, is “rooted in complex mathematical algorithms” and can even be used to adapt to the ever-changing vocal patterns of chickens, meaning it gets better at decoding chicken calls over time.
Translation of the crowing of chickens with artificial intelligence
To test their new system, Japanese scientists recorded and analyzed sound samples of 80 chickens. They then fed these samples to an algorithm that could associate vocal patterns with different “sensory states” of the birds. Then, with the cooperation of an eight-person team of animal psychologists, they were able to determine the mental state of a chicken with high accuracy.
Their article states:
“The results of our experiments show the potential of using artificial intelligence and machine learning techniques to detect the emotional state of chickens based on their vocal signals. “The high average probability of detection for each emotion shows that our model has learned to capture meaningful patterns and features from the birds’ calls.”
However, they have pointed out that the accuracy of their model may change with different breeds and environmental conditions, and the data set used to train and evaluate the model may not fully capture the moods and emotional changes of chickens.
So far, interesting uses of artificial intelligence have been mentioned in other reports. For example, a few months ago, a group of scientists developed a tool called “TreeTag” to check the condition of the tree at any moment, and by connecting this technology with ChatGPT, they managed to talk to the tree.
RCO NEWS