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Scientists Try Machine Learning to Understand What Animals Say Web page by kate mackey

A Web Page to My Veterinarian

Information Given By the Researchers

This specific type of research was done on "underground-dwelling rodents known as naked mole rats". These animals were a key source to this study being successful. They were the chosen animal because they make soft chirping sounds which helped the machine-learning algorithms analyze around 36,000 soft chirps in seven different rat colonies.

Cool Pin Points of Data

  • Each mole rat has its own vocal signature, while each mole rat colony has its own dialect, suggesting mole rats have their own languages within their home group.
  • This dialect can change however, when the colony's queen dies the dialect dies with her. Only once a new queen begins her reign will the colony develop a new dialect.

Integration of Machine -Learning Within the Experiment

Machine-learning helped the researchers out significantly because of how complex these new dialects were and how often they may change. With technology they were able to track these dialects more closely and track then over time. This allowed them to use their past data and construct algorithms that would compare the new dialect of a certain colony with the old dialect of that same colony to see if there were similarities. They would also cross check between all of the seven colonies and see the similarities and differences within the dialects.

This small step in the production of the machine-learning algorithms allowed researchers to discover that squeezing mice are stressed and why fruit bats are constantly shouting, just to name a few. A researcher wanted to turn this into the "google translate for animals" (Diana Reiss).

What this Research Could Do For You:

This research while still in the beginning stages could help your work exponentially, if you were are to understand your animal patients better than your treatment for them could also improve. Without trying to spend time figuring out what is wrong, this technology has the potential to tell you what's wrong.

Resources:

  • https://www.theguardian.com/science/2022/jul/31/can-artificial-intelligence-really-help-us-talk-to-the-animals
  • https://www.nytimes.com/2022/08/30/science/translators-animals-naked-mole-rats.html
  • https://learningfromdogs.com/2012/07/18/bond-dogs-humans/
  • https://slashdot.org/story/22/09/04/2339213/scientists-try-machine-learning-to-understand-what-animals-say