Do magnetized quark stars stay cool inside forever?

The interiors of the universe’s most extreme objects are like laboratories carved out of the imagination. In magnetars—compact stars with magnetic fields so intense they bend the rules of everyday physics—the matter inside can reach densities and field strengths that push our theories to the limit. A new study from Arizona State University asks a…

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Can ‘Self-Aware’ AI Spot the Flaws We Miss?

Imagine a world where robots don’t just assemble your gadgets, but also obsessively check their own work, catching tiny defects before they become big problems. That’s the promise of a new AI system called Self-Navigated Residual Mamba (SNARM), developed by researchers at Jiangxi Normal University and several other institutions. The Problem: Spotting Tiny Flaws in…

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Can Turbo Decoding Save Quantum Memories from Hook Errors?

In the quantum world, errors aren’t just annoying bugs. They’re stubborn fingerprints that cling to qubits, drift through circuits, and threaten to erase the delicate information quantum memory stores. When researchers talk about stabilizer measurements, they’re describing a concerted effort to keep the music in tune—detecting missteps and correcting them before the melody collapses into…

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Low-Degree Points Quietly Map a Hidden Curve Web

Highlights: A Toric Stage Inspires Interpolation; Most Low-Degree Points Emerge from Ambient Intersections; Singular Curves Go Onstage with Unity; A Plane-Curve Twist Expands Classical Results In the orchestra of algebraic geometry, a curve is a melody and a point of small degree is a note that repeats across a number field, not at will but…

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AI’s New Trick: Predicting Lightning Strikes Before They Happen

The crackle of electricity in the air, the sudden flash, the deafening roar – lightning strikes are terrifyingly unpredictable. But what if we could see them coming? A team of researchers, using innovative multiscale modeling, has made significant strides in understanding and predicting positive corona discharges, the electrical precursors to lightning. Unveiling the Secrets of…

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The Golden Ratio’s Secret Power Over Network Growth

The Unexpected Power of Self-Reinforcement Imagine a social network where popularity isn’t just about connections; it’s about the *history* of those connections. That’s the essence of a new mathematical model, developed by Yogesh Dahiya of the Indian Institute of Science Education and Research (IISER) Mohali and Frank den Hollander of Leiden University, that explores “self-reinforced…

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AI Now Sees What Drivers Do: Can Machines Really Understand Human Behavior Behind the Wheel?

Decoding the Driving Mind: AI’s New Challenge Imagine a world where self-driving cars don’t just react to traffic, but anticipate your moves, understand your intentions, and even know when you’re distracted or stressed. It’s a vision fueled by the quest to build safer and more intuitive vehicles. This future requires something profound: machines that can…

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