When Fluids Decide to Split and Diffuse

In a laboratory in Beijing and another in Shenzhen, a team of mathematicians and physicists set out to choreograph a very stubborn waltz: how a compressible, heat-bearing fluid with two immiscible phases can phase-separate, form diffusion interfaces, and evolve over time without spiraling into chaos. Their instrument of choice wasn’t a telescope or a centrifuge…

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Could OTFS calm mmWave chaos across cells today?

The paper behind this piece isn’t about a single dazzling gadget or a flashy experiment. It’s about how the invisible plumbing of future wireless networks might work more gracefully when there are many cooks in the kitchen. In mmWave downlinks—those ultra-fast wireless links that promise mind-boggling data rates but hate getting blocked by a coffee…

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AI’s Inferential Power: Is Privacy Regulation Doomed?

The breathless hype around artificial intelligence often overshadows a chilling implication: AI’s capacity for inference could render our current privacy frameworks obsolete. Researchers at Cornell University, Severin Engelmann and Helen Nissenbaum, challenge this ‘privacy nihilism’—the idea that AI’s ability to infer “everything from everything” makes data categorization irrelevant. The Allure and Anxiety of AI Inference…

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When data goes missing, cancer clues still shine brightly

Cancer isn’t a single monolith so much as a chorus of molecular disruptions that ripple through DNA, RNA, proteins, and beyond. To understand it, researchers increasingly profile patients across multiple molecular layers—DNA methylation, gene expression, microRNA, and more—hoping to stitch together a holistic portrait. Yet in the real world, data from some layers are often…

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When Graphs Refuse to Quantum Dance with Symmetry

Symmetry Beyond the Classical Horizon Symmetry is a language nature speaks fluently, from the petals of a flower to the orbits of planets. In mathematics, symmetry often reveals itself through automorphisms — transformations that shuffle parts of an object without changing its essence. For graphs, these automorphisms are permutations of vertices preserving connections, the classical…

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