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By GBH
Ever wonder what's really going on in the world of science? We've got you covered. Join us for conversations with the researchers making tomorrow's breakthroughs, deep dives into the universe's big
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The podcast currently has 115 episodes available.
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Brent Minchew is an expert on the glacier that could devastate the world’s coastlines. As a glaciologist at Caltech, he's spent his career tracking Thwaites Glacier, AKA the "Doomsday Glacier." It’s roughly the size of Florida and already losing 50 billion tons of ice a year. Brent joins Hakeem to break down what scientists know – and don’t know – about the glacier that could determine our future. How certain is that “doom,” and how fast could it happen? They nerd out about what happens as glaciers slip into the sea, how satellites can measure glacier movement down to the millimeter from orbit, and how Thwaites might be the single most important glacier on the planet. Learn more about NOVA and visit our YouTube channel. -------------------------- Guest Bio: Brent Minchew is a glaciologist and geophysicist at Caltech, where he leads research on the dynamics of ice sheets and sea -level rise, and Chief Scientist at Arête Glacier Initiative. A former U.S. Marine, he now co-leads efforts to test real-world interventions that could stabilize the world's most vulnerable glaciers.

Jordan Ellenberg tells Hakeem that math isn't just about numbers. It's about everything. The mathematician and bestselling author shares how AI models are trained through trial and error, why geometry secretly governs everything from family trees to statistical correlation, and why uncertainty, not certainty, is the true language of the universe. From new dimensions to hurricanes we can't quite predict, Jordan and Hakeem trace math's fingerprints across physics, language, and daily life in a preview of his upcoming book, Don't Be Too Sure. -------------------------- Guest Bio: Learn more about NOVA and visit our YouTube channel. Jordan Ellenberg is a professor of mathematics at the University of Wisconsin–Madison, specializing in number theory and arithmetic algebraic geometry. He is the New York Times bestselling author of How Not to Be Wrong and Shape, and his forthcoming book, Don't Be Too Sure, arrives in 2027

Jordan Ellenberg says geometry isn’t about shapes. It’s about distance. In a tour of geometry far stranger than anything from high school, the mathematician breaks down how our ancient understanding of triangles evolved into the invisible architecture behind AI, family trees, and human relationships. Minds expand as we ask why the "closeness" between two ideas is a literal angle in a vast multi-dimensional space, and what can a 19th-century novella about a talking square teach us about worlds we'll never see? Learn more about NOVA and visit our YouTube channel. -------------------------- Guest Bio: Jordan Ellenberg is a professor of mathematics at the University of Wisconsin–Madison, specializing in number theory and arithmetic algebraic geometry. He is the New York Times bestselling author of How Not to Be Wrong and Shape, and his forthcoming book, Don't Be Too Sure, arrives in 2027.

Daniela Rus brings robots and AI together, and as a computer scientist and roboticist at MIT, she's here to set the record straight. She's not just studying AI from the outside. She's building it, and finding ways to make everyday life better. Daniela joins Hakeem to pull back the curtain on what AI actually is, how it really works, and where it is genuinely headed. What happens when AI leaves the cloud and moves into your phone, your car, and even your body? And what does a tiny worm with 302 neurons have to do with the future of machine intelligence? From the history of AI to so-called “liquid networks,” self-driving cars, humanoid robots, and an origami surgeon you can swallow, this conversation covers the full scope of what MIT's most ambitious minds are building right now. Learn more about NOVA and visit our YouTube channel. Daniela Rus is a computer scientist and roboticist at MIT, where she serves as Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL). Her research focuses on the science and engineering of autonomy, including the development of new AI models, and physically intelligent systems. She is the co-founder of Liquid AI, a startup bringing energy-efficient on-device AI models to real-world applications.

David Kaiser thinks the dark matter puzzle is getting closer to being solved. Nearly a century of observations, from galaxy clusters to the cosmic microwave background, have built a compelling case for dark matter's existence, but in recent years, the leading candidates for this mysterious matter have been coming up short.. Enter black holes. Tiny ones. David explains how so-called primordial black holes that formed in the first moments after the Big Bang could possibly be all our dark matter… if they exist at all. Fortunately, this is a testable theory, and David explains the exciting new experiments that could potentially lay this cosmic mystery to rest. Make sure to subscribe now so you never miss an episode. Learn more about NOVA and visit our YouTube channel. -------------------------- Guest Bio: David Kaiser is a professor of physics and the history of science at MIT. His research spans the history of modern physics, cosmology, and the foundations of quantum theory. He is the author of several books, including How the Hippies Saved Physics, and is a frequent contributor to public conversations about science and its history.
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