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Deep thought in deep blue: 5 Israelis in pioneering project to decode whale talk

Three sperm whale calves. (Amanda Cotton) Five Israelis have been invited to join a pioneering global research project aimed at listening into and understanding the language of sperm whales, the animals with the biggest brains on the planet. Project CETI Cetacean Translation Initiative forms part of TED’s Audacious Project program, which annually selects what it calls “big, bold solutions to the world’s most urgent challenges.” CETI seeks to provide the first-ever blueprint of another animal’s language and maybe even to enable humans to communicate with these great mammals, which are ranked as vulnerable worldwide by the International Union for the Conservation of Nature, and as endangered in the US and the Mediterranean.

Groundbreaking effort launched to decode whale language

Groundbreaking effort launched to decode whale language With artificial intelligence and painstaking study of sperm whales, scientists hope to understand what these aliens of the deep are talking about. Sperm whales, including this adult and calf swimming near the Caribbean nation of Dominica, communicate in clicks. In what may be the largest interspecies communication effort in history, scientists plan to use machine learning to try to decode what these animals say to one another. ByCraig Welch Email On a crisp spring morning in 2008, Shane Gero overheard a pair of whales having a chat. Gero, a Canadian biologist, had been tracking sperm whales off the Caribbean island nation of Dominica when two males, babies from the same family, popped up not far from his boat. The animals, nicknamed Drop and Doublebend, nuzzled their enormous boxy heads and began to talk.

Geometric deep learning, from Euclid to drug design

“Symmetry, as wide or as narrow as you may define its meaning, is one idea by which man through the ages has tried to comprehend and create order, beauty, and perfection.” This poetic definition comes from the great mathematician Hermann Weyl, credited with laying the foundation of our modern theory of the universe. Another great physicist, Philip Anderson, said that “it is only slightly overstating the case to say that physics is the study of symmetry.” In mathematics, symmetry was crucial in the foundation of geometry as we know it in the 19th century. Now it could have a similar impact on another emerging field. Deep Learning success in recent decades are significant – from revolutionising data science to landmark achievements in computer vision, board games and protein folding. At the same time, a lack of unifying principles makes it is difficult to understand the relations between different neural network architectures resulting in the reinvention and re-branding of th

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