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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When Quantum Channels Learn to Be Patient

In the quantum world, even the quietest channels have a life of their own. They shuffle information and states around, sometimes with almost musical precision, sometimes with turbulent chaos. For decades, mathematicians and physicists have asked: after how many steps do these shuffles become reliable, no matter where you started? Classically, a venerable answer sits…

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Can a small AI achieve brain-like reasoning depth?

When people imagine AI thinking, they often picture long, careful chains of thoughts sprawling across text. In practice, the most capable systems today are data-hungry monoliths that bend their will to huge corpora and massive compute, with reasoning often leaking out in the form of vague patterns rather than transparent steps. A new study from…

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Are String Theories Talking to Each Other Behind the Scenes?

Scattering amplitudes—the probabilities of how particles collide and scatter in high-energy physics—are usually described with a language that feels almost like a secret code. In string theory, that code comes in many dialects: open strings, closed strings, bosonic strings, superstrings, and their various cousins. A new study, led by Qu Cao and collaborators across Zhejiang…

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