Actually, Google AI has been involved in research projects aimed at decoding animal communication, including dolphin vocalizations, as part of broader efforts like Project CETI (Cetacean Translation Initiative). Here’s how AI, especially from organizations like Google, helps in detecting and interpreting dolphin "language":

Dolphins communicate using clicks, whistles, and other sounds.

Researchers use underwater microphones (hydrophones) to record thousands of hours of dolphin vocalizations.

AI algorithms help clean and process noisy underwater recordings to isolate dolphin sounds from background noise like waves or boat engines.

Machine learning models, especially deep learning, are trained to recognize patterns in the dolphin vocalizations.

These models can detect specific types of clicks or whistles and correlate them with dolphin behavior, like hunting or socializing.

Natural Language Processing (NLP), the same tech behind Google Translate, is adapted to look for possible syntax or structure in dolphin communication.

AI attempts to map sounds to meanings or contexts, essentially creating a primitive “dictionary” of dolphin sounds.

Since we don’t "speak dolphin," unsupervised learning helps the AI find structure in the data without needing labeled examples.

Clustering algorithms group similar sounds together, which can hint at repeated phrases or "words."

Advanced AI systems can eventually be used for real-time monitoring of dolphin pods to understand how they respond to changes in their environment.

This field is still in early stages, but with the help of powerful AI tools and big data, researchers are getting closer to understanding the complexity of dolphin communication.