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 ‘Thinking’ Process: An Illusion, or a Tool’s Potential?

For years, the field of artificial intelligence has chased the elusive goal of creating machines that truly reason, not just mimic human-like responses. Large Reasoning Models (LRMs) emerged as the latest attempt: algorithms designed to showcase a step-by-step thought process before delivering answers to complex problems. But a recent, unexpected twist suggests that this deliberate,…

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AI’s New Memory: How it Learns to Forget the Wrong Things

Imagine a detective sifting through a mountain of case files, needing to quickly isolate the crucial details for solving a specific crime. That’s the challenge facing large language models (LLMs) – sifting through their vast training data to find relevant examples for a particular task. Current methods often grab similar-sounding information, even if it’s irrelevant…

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Quantum Computers’ New Benchmark: Averaging Out the Noise

Imagine a bustling city, where the hum of activity masks the subtle flaws in its infrastructure. To assess the city’s overall health, you wouldn’t just inspect individual buildings; you’d look at traffic flow, resource distribution, and overall efficiency. A new benchmarking scheme for quantum computers, developed by researchers at the Max Planck Institute of Quantum…

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Random Young Tableaux: A New View of Their Fluctuations

Unveiling Hidden Order in Randomness: A Deep Dive into Young Tableaux Imagine a world built from LEGO bricks, but instead of simple squares, the bricks are shapes defined by mathematical objects called integer partitions. These partitions, represented visually as Young diagrams, form the building blocks of intricate structures. Now, picture these diagrams arranged randomly –…

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Can a frozen transformer still learn new moves?

In the world of artificial intelligence, bigger has often meant better. Large language models keep swelling, soaking up more data, parameters, and compute until they feel almost like a force of nature. Yet there’s a growing ache behind the thrill: how do we keep quality from exploding alongside cost? A team of researchers led by…

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A pipeline that curates language data for every tongue

The global tapestry of languages is vast and unevenly lit. The online world—where most data for training large language systems is born—hums with English, Chinese, and a handful of other high-resource tongues. Around 7,000 other languages struggle to find a voice in the digital era, their words scattered across isolated communities, local texts, and scarce…

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A quiet mind finds a voice in CLIS

In the quiet world of completely locked-in state, the body becomes a sealed chamber and the mind longs for a conversation it can no longer physically initiate. ALS can strip away not just speech or movement but the very channels through which a person can reach out to others. At The University of Texas at…

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