This week at MIT: MIT tech to the moon, safer batteries, controlling diabetes + more ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏

| MIT WeeklyApril 4, 2026 | 
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| | | NASA's Orion spacecraft is carrying four astronauts and a state-of-the-art communications system developed at MIT Lincoln Laboratory on its way to the moon. The Orion Artemis II Optical Communications System uses lasers to send high-res video and images of the lunar surface down to Earth. "With an optical link running at the highest rate, we should be able to get all the data down to Earth within a few hours for immediate analysis," says Farzana Khatri, the lead systems engineer. |
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| | Why solid-state batteries keep short-circuiting |
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| New insights into metallic cracks that harm battery performance could advance the longstanding quest to develop energy-dense solid-state batteries. |
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| Implantable islet cells could control diabetes without insulin injections |
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| The cells can survive in the body for at least three months, producing enough insulin to control blood sugar levels, research shows. |
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| Championing fusion's promising underdog |
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| Sophia Henneberg, assistant professor in the Department of Nuclear Science and Engineering, is developing stellarators to harness fusion energy. |
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| Turning muscles into motors gives static organs new life |
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| A new biohybrid system developed at MIT is the first living implant that uses rewired nerves to revive paralyzed organs. |
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| Three ways to use AI: Are you a cyborg, a centaur, or a self-automator? |
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| New research finds employees use generative AI three different ways, each with different implications for on-the-job learning. |
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| | MIT alumni are helping build a better MBTA — reshaping route planning, improving service, and supporting the workforce that keeps Greater Boston connected. |
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| | | | Gas prices are spiking. An MIT expert explains why they're unlikely to come down any time soon // The Boston Globe |
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| Professor Catherine Wolfram discusses the impact of the Iran war on oil and gas prices. "There's something that economists call the 'rockets and feathers' phenomenon: When oil prices go up, gasoline prices go up like a rocket," explains Wolfram. |
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| Did scientists just detect an exploding black hole? // New York Times |
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| Professor David Kaiser and graduate student Alexandra Klipfel delve into their research exploring whether a neutrino detected zipping through the Mediterranean Sea in February 2023 may have come from an exploding primordial black hole. |
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| Mass. researchers help power Artemis II mission with new laser communications system // The Boston Globe |
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| A new laser communication system developed by a team from MIT's Lincoln Laboratory is aboard NASA's Artemis II mission to the moon. |
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| Listen: Is Earth prepared for asteroids? // GBH Curiosity Desk |
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| Associate Professor Julien de Wit, Research Scientist Artem Burdanov and Research Scientist Saverio Cambioni discuss their method for detecting and tracking smaller asteroids that could impact Earth's space infrastructure. |
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| | | | In celebration of the launch of Artemis II, the first crewed U.S. moon mission since the 1970s, we look back at our blue ocean world, as seen from the very first crewed moon mission, Apollo 8, in December 1968. Godspeed to the Artemis II astronauts and congrats to all, from MIT and elsewhere, who helped make this milestone possible! |
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| | | In the latest episode of the Curiosity Unbounded podcast, MIT President Sally Kornbluth speaks with Song Han, an associate professor in electrical engineering and computer science, whose research focuses on efficient AI computing. The two discuss Han's start with AI model efficiency, how model compression is like pruning trees, and the benefits of lighter models. |
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