Are Wormhole Throats Really Stable in Our Universe?

Wormholes have always hovered between science and myth—the imagined tunnels through spacetime that could, in principle, connect distant regions of the cosmos. A new study from the University of Texas at Dallas, led by Travis Rippentrop, Avijit Bera, and Mustapha Ishak, digs into a pressing question behind that science-fiction gloss: can these thin-walled bridges stay…

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Quantum Leap: AI Designs Perfect Light Absorbers

A New Era in Metasurface Design Imagine a world where we can design materials that perfectly absorb light at specific frequencies, like a perfectly tuned musical instrument. This isn’t science fiction; it’s the promise of advanced metasurfaces, incredibly thin structures that manipulate light in unprecedented ways. But designing these tiny, intricate structures to achieve this…

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When Your Iris Becomes a Locked Vault

Biometric security feels like magic at first glance: a fingerprint that unlocks a phone, an iris scan that logs you into a car, a face that replaces a password. But the real story is messier and more human. Behind every smooth unlock is a constant balancing act between convenience, privacy, and the risk that data…

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AI’s Secret Weakness: Nested Tori Reveal Limits of Prediction

Imagine a clockwork universe, exquisitely intricate, where the gears are not physical but mathematical—a universe governed by polynomial equations. For over a century, mathematicians have wrestled with a seemingly simple question within this universe: how many stable, repeating patterns (limit cycles) can exist in a system described by planar polynomial equations of a given degree?…

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When Robots Feel Their Way They Move Like Us

Why Feeling Matters More Than Seeing for Robots Robots opening doors, pulling drawers, or twisting knobs might sound like a mundane chore, but it’s a surprisingly complex dance of touch, prediction, and adaptation. At the heart of this challenge is the robot’s ability to understand and manipulate objects that aren’t rigid or fixed — things…

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When Code Completion Learns to Rank Without Slowing Down

The invisible art of code completion Every programmer knows the magic moment when their IDE (Integrated Development Environment) guesses the next word or function they want to type. This seemingly simple feature—code completion—is a lifeline for developers, speeding up typing, reducing errors, and helping navigate sprawling codebases. But behind this magic lies a complex challenge:…

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SoV Finds Fresh Orthogonality Before Wrapping in SYM

Theoretical physics often feels like trying to read the genome of reality in a language that shifts shape when you blink. Planar N = 4 supersymmetric Yang–Mills (SYM) is one of those languages: exquisitely symmetric, shockingly intricate, and textually full of hidden patterns. In this landscape, a method called Separation of Variables (SoV) promises to…

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When AI Learns to Blame Itself Step by Step

Why Teaching AI to Reason Is More Than Getting the Right Answer Large Language Models (LLMs) like GPT and its peers have dazzled us with their ability to generate text, solve math problems, and even write code. But beneath the surface, these models often struggle with a subtle yet crucial skill: understanding which parts of…

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AI’s Secret Weapon: Matching Data to Tasks

The Surprising Power of Tailored Data Imagine building a house. You wouldn’t use the same materials for the foundation as you would for the roof, right? Similarly, training powerful AI models shouldn’t rely on a generic data dump. A new study from researchers at Apple, the University of Washington, and Stanford shows that carefully matching…

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Proofs Train Themselves to Refactor with Hidden Tactics

In the realm of formal mathematics, computers prove theorems by following carefully crafted steps called tactics. When proofs grow long and tangled, researchers imagine a smarter way to reuse patterns—the software-library mindset applied to reasoning itself. The idea sounds almost like teaching a machine not just to solve a single puzzle, but to learn how…

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