2023-10-03 00:00:00
The artificial intelligence It is generating extraordinary advances. Now, the Earth Species Project team assures that we will be able to understand communications between animals analyzing their behavior and “translating” it into words through AI.
For this invention, a team of scientists, biologists and conservation experts from the association are collecting a large amount of data from different species. The objective is build machine learning models.
To achieve this, Earth Species Project works with an artificial intelligence model called Large Language Models (LLM) or, in Spanish, Large Language Models. This technology allows you to answer questions, translate texts from one language to another, and transcribe sounds and gestures. For that reason, researchers saw the possibility of unifying the achievements of this AI to accurately understand the language of animals and translate them instantly.
So far, the project is in a trial period with dolphins and crows. In these species, work is being done to extract repetitive patterns and then begin the “translation” period.
However, this project is not the first that seeks to understand how animals communicate through artificial intelligence. Another is the Cetacean Translation Initiative (CETI) Projectwhich does so with sperm whales, known for interacting with each other with different vocalizations.
In this regard, researcher Shane Gero from Carleton University in Ottawa discovered that “sperm whales they seemed to use specific sound patterns, called codas, to identify each other. They learn these codas the same way young children learn words and names, by repeating sounds that adults around them make.“, as noted in a note from Scientific American.
With this information and together with his team, the scientist introduced the recordings into a neural network that learns skills through data analysis. With the use of this AI, conversations between a set of whales were identified through the codas. Now the investigation seeks to expand the range of study in the ocean to have more material to decode with artificial intelligence tools.
This content was originally published in RED/ACCION and is republished as part of the ‘Human Journalism’ program, an alliance for quality journalism between RÍO NEGRO and RED/ACCION
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