Wormholes: A Recipe from Quantum Physics and Electric Fields?

Bridging the Gap Between Science Fiction and Reality Wormholes, those fantastical tunnels through spacetime popularized in science fiction, have captivated imaginations for decades. But what if the very fabric of reality hinted at the possibility of their existence, not through some far-fetched speculation, but through the seemingly mundane realm of quantum physics and electricity? That’s…

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AI Learns to Predict Fluid Flow at Any Scale

Imagine a world where predicting the complex behavior of fluids—from the swirling patterns of weather systems to the intricate dynamics of blood flow in our arteries—becomes dramatically simpler and more accurate. This is the promise of a new approach to solving partial differential equations (PDEs), the mathematical backbone of much of physics and engineering. Researchers…

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A Fresh Compass for Anisotropy in f(Q) Gravity

The cosmos we inhabit is astonishingly uniform on large scales, yet the whispers of subtle irregularities still echo through the data. The standard story—that space is, for all practical purposes, the same in all directions and at all places—rests on Einstein’s theory of gravity and the simple, elegant FLRW model. But physicists love to poke…

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Tokens powering science’s invisible grid reshape the research landscape

Fermilab’s computing grid is more than a tech stack. It’s a living artery that pumps data, software, and collaboration across continents, fueling experiments that probe the mysteries of matter, energy, and the cosmos. For decades, the grid trusted users and machines through X.509 certificates—digital passports that could be shared and extended, but eventually grew unwieldy…

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This Tiny Chip Could Make AR/VR Explode

A Leap Forward in Real-Time 3D Rendering Imagine a future where augmented and virtual reality (AR/VR) aren’t clunky, laggy experiences, but seamlessly integrated parts of our everyday lives. That future is closer than you think, thanks to a groundbreaking new chip developed by researchers at the Georgia Institute of Technology and National Tsing Hua University….

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AI predicts airflow, ignoring most of the data

Researchers at ONERA and the Institute of Mathematics of Toulouse have developed a new AI-powered method for simulating fluid flows. Forget about meticulously feeding your algorithm every single data point. This method, surprisingly, can accurately predict airflow patterns even when it’s missing the vast majority of data points. It’s like having a hyper-intuitive weather forecaster…

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