A Universal AI for Medical Imaging Across Specialties

Medical imaging has become the nervous system of modern medicine. From a patient’s chest x-ray to a biopsy’s tissue slide, doctors build a map of what’s happening inside the body. Yet the tools that help interpret these images are often siloed by modality (the kind of image) and by specialty (radiology, ophthalmology, pathology, dermatology, and…

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The Hidden Motives Behind Coherent Spaces

The Hidden Motives Behind Coherent Spaces Georg Lehner’s new work on algebraic K-theory of coherent spaces invites readers to meet a surprising team: abstract spaces that look tiny on the surface, yet encode wild arithmetic below. The central claim is deceptively simple: to understand deep invariants of categories of sheaves on these spaces, you might…

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Tiny Blocks Teach AI to See in 6D Classrooms

Intro In classrooms where students turn physical objects into ideas, the best kind of teaching avoids turning learning into a game of buzzwords and screens. It’s the kind of learning that happens when hands meet hardware and questions meet curiosity. A team from Colorado State University has pushed a new boundary in this space by…

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Can Gears Teach Robots to Learn From Themselves?

Robotics has long carried two visions at once: a scientist’s dream of learning from data, and an engineer’s wish to respect the stubborn reality of hardware. For humanoid robots, that hardware often looks like a tangle of joints, cables, and belts rather than a clean line from motor to foot. In practice, many learning systems…

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Do giant stars hide a sunlike magnetism

The magnetic fingerprints of stars aren’t just a science-y detail tucked away in the footnotes of astrophysics. They are, in a very real sense, the weather reports of stellar life cycles—signals that tell us how a star breathes, loses mass, and eventually meets its quiet end. For years, magnetism in the most colossal, luminous stars…

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Can Africa’s thousands of languages reboot AI learning?

Across the globe, natural-language processing has remixed language into vectors and tokens, but breakthroughs in AI have largely been trained on English and a handful of dominant tongues. In Saarbrücken, Germany, a researcher named David Ifeoluwa Adelani led a project that rethinks how machines understand Sub-Saharan languages. Working with Saarland University’s Institute for Computational Linguistics…

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