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MIT Technology Review examines how AI and new sensor technologies are helping researchers decode animal communication, highlighting efforts like the Earth Species Project's NatureLM, while noting significant challenges in translating non-human signals and skepticism about over-reliance on acoustic similarity.
A profile of Gruber, a marine biologist and founder of Project CETI (Cetacean Translation Initiative), who is using artificial intelligence and machine learning to decode sperm whale communication.
Dr. Julie Elie of UC Berkeley won the 2026 Coller-Dolittle Prize for decoding the core vocabulary of zebra finches, identifying 11 distinct calls by combining observation, machine learning, and behavioral experiments. Her work marks a significant step in interspecies communication.