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QS ranks MIT the world’s No. 1 university for 2026-27

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MIT News 18d ago higher-ed
Summary
MIT has again been named the world’s top university by the QS World University Rankings, which were announced today. This is the 15th year in a row MIT has received this distinction. The full 2027 edition of the rankings — published by…
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Improving the performance of high-power electronics

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MIT News 28d ago higher-ed
Summary
The silicon that forms the foundation of most computer chips has fundamental limits to how much power it can manage, which constrains the speed and energy-efficiency of wireless communication systems. A promising solution is to build…
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Teaching AI agents to ask better questions by playing “Battleship”

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MIT News 32d ago higher-ed
Summary
In 2026, the hype for artificial intelligence agents is louder than ever before. These semi-autonomous programs can “think” and execute well-defined tasks in areas like customer service and software development, typically using language…
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MIT students study plasma physics beneath Alaska’s aurora

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MIT News 45d ago higher-ed
Summary
For many graduate students, waking up at noon after a 4 a.m. bedtime is a sign of a night well spent. For a group of MIT students, it was simply the start of their workday — timed not to the sun, but to the aurora. Their goal was simple:…
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Some democracies are struggling to ensure safe drinking water

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MIT News 46d ago higher-ed
Summary
About 2 billion people — just under a quarter of the world’s population — lack regular access to clean drinking water. And roughly 800,000 people annually die from illnesses associated with unsanitary water. Drinking water access is a…
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The Haystack 37m Telescope: A new era of astrophysical research

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MIT News 48d ago policy
Summary
The Haystack 37m Telescope has been a landmark in radio astronomy and radar studies of the solar system since its first light in 1964. Over the following four decades, it supported NASA's Apollo landings on the moon, made planetary radar…
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Q&A: Expanding MIT’s global reach through Universal Learning

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MIT News Education 55d ago higher-ed
Summary
MIT's Universal Learning is a new initiative from MIT Open Learning designed to prepare learners everywhere to tackle complex global challenges through boundary-crossing thinking. Universal Learning offerings combine subject matter…
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MIT student Jack Carson named 2026 Udall Scholar

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MIT News 59d ago policy
Summary
Jack Carson, a second-year undergraduate at MIT majoring in electrical engineering and computer science, has been named a 2026 Udall Scholar, one of up to 65 undergraduates nationally to receive the prestigious $7,500 award. The Udall…
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MIT affiliates awarded 2026 Guggenheim Fellowships

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MIT News 65d ago higher-ed
Summary
MIT Research Scientist Afreen Siddiqi ’99, SM ’01, PhD ’06; MIT professors Kathleen Thelen and Vinod Vaikuntanathan SM ’05, PhD ’09; as well as Kate Manne PhD ’11 are among 223 scientists, artists, and scholars awarded 2026 fellowships…
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A faster way to estimate AI power consumption

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MIT News 70d ago higher-ed
Summary
Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12 percent of total U.S. electricity by 2028 , according to the Lawrence Berkeley National Laboratory. Improving data center…
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Teaching AI models to say “I’m not sure”

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MIT News 74d ago higher-ed
Summary
Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models share a trait with the loudest voice in the room: They deliver every answer with the same unshakable certainty,…
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T.L. Taylor named 2026-27 CASBS Fellow

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MIT News 75d ago higher-ed
Summary
MIT Comparative Media Studies/Writing Professor T.L. Taylor has been named a 2026-27 fellow at the Center for Advanced Study in the Behavioral Sciences at Stanford University (CASBS), a highly selective residential program that convenes…
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New technique makes AI models leaner and faster while they’re still learning

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MIT News 88d ago higher-ed
Summary
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally, obtaining a smaller, faster model either requires training a massive one first and then…
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