Scientists are using machine learning (ML) in the field of digital bioacoustics to understand the language of animals such as honeybees and bats. This research aims to break down the barriers between humans and animals by decoding animal communication that is almost invisible to us. Advanced sensors and artificial intelligence (AI) are being used to analyze animal sounds and detect patterns, allowing researchers to decipher the messages animals convey to each other. Digital bioacoustics utilizes portable field recorders and natural language processing algorithms to collect and analyze data. Through this approach, scientists have discovered that bats have complex communication systems, including signature calls, dialects, and the use of motherese (aka ‘baby talk’) with their young. This AI research challenges the notion that human communication is completely different from other animals, and opens up possibilities for interspecies communication.
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