🧠 **Scientist cracks zebra finch language** – Dr. Julie Elie wins $100,000 Coller-Dolittle Prize for decoding the 11 core calls of zebra finches, revealing how these songbirds identify themselves, share activities, and understand call meanings. Her research uses machine learning and behavioral experiments to prove birds can confuse similar meanings over similar sounds, marking a major leap in **interspecies communication** and **animal language research**.
🐦 **Zebra finch vocabulary decoded** – After over a decade of recording thousands of calls, Elie’s team identified distinct vocal signatures for individual birds and showed they recognize one another regardless of what is said. The breakthrough, validated by AI and reward-based experiments, suggests these birds possess a **mental imagery of call meanings** – a key step toward **two-way human-animal communication**.
🤖 **AI unlocks animal communication** – The 2026 prize, established by the Jeremy Coller Foundation, highlights how **machine learning in biology** is decoding bird calls, bonobo sequences, and chimpanzee vocalizations. While researchers remain cautious, Coller predicts technology will achieve **interspecies dialogue by 2030**, advancing both **animal cognition study** and human-animal bonds.