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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AI’s New Ears: Hearing Through Noise, Even With Broken Equipment

Imagine a world where even the most battered, low-resolution recording devices could capture crystal-clear audio, filtering out background noise and interference with stunning accuracy. This isn’t science fiction; it’s the promise of a new approach to signal processing developed by researchers at Rutgers University. Led by Morriel Kasher, Michael Tinston, and Predrag Spasojevic, their work…

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AI Finally Learns to Think Like a Human, Thanks to Our Brains

For years, artificial intelligence has struggled with something humans do effortlessly: combining familiar concepts in novel ways. Think of understanding “jump twice” based on knowing “jump” and “twice.” This “compositional generalization” is a hallmark of human intelligence, but AI has lagged behind, often exhibiting impressive performance on specific tasks yet failing miserably when faced with…

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AI’s New Eyes: Seeing the Unlikely

Imagine a world where predicting rare, impactful events isn’t a matter of sheer luck, but of carefully crafted mathematical insight. That’s the promise of a groundbreaking new study from Utah State University, which introduces two novel heuristics for understanding rare events in complex systems. These aren’t just theoretical tweaks; they could dramatically alter how we…

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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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Do giant stars hide a sunlike magnetism

The magnetic fingerprints of stars aren’t just a science-y detail tucked away in the footnotes of astrophysics. They are, in a very real sense, the weather reports of stellar life cycles—signals that tell us how a star breathes, loses mass, and eventually meets its quiet end. For years, magnetism in the most colossal, luminous stars…

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A New Way to See Quantum Echoes Without Orthogonality

Quantum excited states are the hidden chapters of nature’s story, the spectral fingerprints that light up when molecules vibrate, electrons hop, or spins flip. They’re essential to understanding chemistry, materials, and even how we design quantum devices. Yet for all the fuss around quantum computing and advanced simulations, predicting those excited states remains stubbornly hard….

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How Many Trees Can Share at Least ‘t’ Branches?

Unraveling the Intersections of Spanning Trees Imagine a sprawling network, a complete graph where every node is connected to every other node. Now, picture all the possible spanning trees within this network – each a skeleton of connections, reaching every point without any cycles. A new mathematical result, emerging from the University of Minnesota Duluth,…

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When 2D Keypoints Conquer a Dense LiDAR Map?

Visual localization is the quiet but essential magic behind every slick AR demo, every autonomous delivery robot, and every mapping app that seems to know where you are without asking. It’s the challenge of figuring out the camera’s 6-DOF pose—the exact position and orientation in three-dimensional space—within a sprawling 3D map. For years, researchers leaned…

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AI’s New Eyesight: Seeing Less, Understanding More

The Efficiency Revolution in AI Vision Imagine a world where artificial intelligence (AI) can see and understand images with astonishing speed and accuracy, all while using significantly less computing power. This isn’t science fiction; it’s the promise of a new approach to vision transformers, the powerful AI models that are changing how we process images….

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