Non-commuting coordinates reveal helicity-driven space-time quantization mysteries unveiled

Demokritos National Research Center in Athens, Greece, home to the Institute of Nuclear and Particle Physics, is where George Savvidy and colleagues push the boundaries of how we describe massless particles. In a study threaded through the language of non-commutative geometry and deep symmetry, the author explores how photons and gravitons—the massless quanta of light…

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The Two Spikes That Let LLaMA Shrink Without Loss

The scale of modern language models can feel like watching a glacier slide: immense, intricate, and almost impossibly heavy. These giants—open or closed—are built from billions of parameters, tuned to predict the next word with uncanny fluency. But there’s a catch that scientists have wrestled with for years: the bigger the model, the heavier the…

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Collision Models Teach Quantum Open Systems How They Evolve

Open quantum systems are the rule, not the exception in the real world. A quantum device rarely lives in isolation; it is constantly brushing against an environment—air, stray photons, vibrating lattices—until its fragile quantum states degrade. For decades, physicists have used continuous-time master equations to describe this bath-induced evolution, with the Lindblad equation as a…

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The One Neural Brain That Masters Many Drones

In the world of drone racing, machines zipp through a gauntlet of gates at breakneck speeds, while human pilots read the air with instinct and nerve. A new study from Delft University of Technology asks a bigger question: could a single neural controller drive different drones as if it shared one brain across a family…

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An AI Ensemble Rewrites How We Tag Knowledge

Libraries are the great equalizers of the information age, but the avalanche of digitally published material has turned tagging into a moving target. If you’ve ever hunted for a paper, a chapter, or a dataset, you know the friction: you’re searching not just for exact titles but for the threads that connect ideas across disciplines,…

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Can an Open-Source Engine Teach AI to Learn Faster?

Data pours into perception systems the way rain floods a city street: streams from cameras, sensors, and roadside networks, more than any single team can neatly label. The challenge isn’t just volume; it’s bias. The most interesting moments in traffic aren’t the everyday ones that appear in textbooks, but the rare, strange, or dangerous events—the…

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Calibrating a Robot’s Eye by Watching Its Base

The quiet magic behind modern factory robots is the alignment of what a camera sees with where a robotic hand is allowed to reach. If those two worlds don’t line up perfectly, even the best grasping algorithm can stumble. Calibration has long been the gap between perception and action—a necessary ritual that slows everything down….

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