Why Wild Elephants Inventing Unique Names for Each Other Stunned Biologists
A machine-learning model analyzing 469 low-frequency vocalizations across 101 wild African savannah elephants in Kenya correctly identified the intended recipient of a rumble 27.5% of the time purely from its acoustic features. In a classification framework spanning 117 unique targets where random b ...