

That’s how sperm whales talk to each other, Gruber told her. Goldwasser, who had just been named the new director of the Simons Institute for the Theory of Computing at the University of California, Berkeley, had heard a series of clicking sounds that reminded her of the noise a faulty electronic circuit makes-or of Morse code. It started in 2017 when an international group of scientists spent a year together at Harvard University in Cambridge, Massachusetts, at the Radcliffe Fellowship, a program that promises “an opportunity to step away from usual routines.” One day, Shafi Goldwasser, a computer scientist and cryptography expert also from Israel, came by the office of David Gruber, a marine biologist at City University of New York. If Project CETI (for Cetacean Translation Initiative) succeeds, it would be the first time that we actually understand what animals are chatting about-and maybe we could even have a conversation with them. But his skills as an expert in machine learning could be key to an ambitious endeavor that officially started in March 2020: an interdisciplinary group of scientists wants to use artificial intelligence (AI) to decode the language of these marine mammals. The Israeli computer scientist, teaching at Imperial College London, England, might not seem the ideal candidate for a project involving the communication of sperm whales. I have never seen a whale in my life,” says Michael Bronstein. Listen now, download, or subscribe to “Hakai Magazine Audio Edition” through your favorite podcast app. This article is also available in audio format. Stream or download audio For this article Octo| 2,400 words, about 12 minutes Share this article

Photo by Amanda Cotton/Project CETI Are We on the Verge of Chatting with Whales? An ambitious project is attempting to interpret sperm whale clicks with artificial intelligence, then talk back to them. Urn:oclc:221143081 Scandate 20110426170245 Scanner are hoping to decipher the communications of sperm whales. O元454734W Page-progression lr Page_number_confidence 96.49 Pages 230 Ppi 643 Related-external-id urn:isbn:0688180191

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