Can a Hybrid Signal Make 6G Surfaces Sing

Wireless networks have always lived on a delicate balance: more devices, higher data demands, and the constant drumbeat of interference. As researchers push toward ultra-fast 6G speeds and denser device ecosystems, the airwaves themselves become a crowded, noisy neighborhood. The result is not just slower connections, but a tangible limit on how much information we…

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Can AI Read Doctor’s Notes to Detect Disease?

The notes inside electronic health records resemble a bustling city at noon: patient stories, test results, medication lists, and the quiet whispers of clinicians’ judgments. They’re essential for understanding a patient’s health, but they’re also messy, unstructured, and enormous in volume. That combination has kept researchers from turning those notes into scalable, real-time health signals—until…

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Deep polynomials tame the wild side of math

The unbounded world of real numbers has a nasty habit: functions can surge to infinity on one side and vanish on the other. Classical polynomials, the workhorses of approximation theory, stumble when faced with that asymmetry. In a striking synthesis of old theory and modern computation, Kingsley Yeon of the University of Chicago and Steven…

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AI That Learns From Mistakes: How a ‘Mixture of Experts’ Solves the Concept Drift Problem

The Evolving World of Data The digital world throws a constant torrent of data at us—from sensor readings to social media posts, financial transactions, and network logs. This isn’t the neatly packaged data of a textbook; it’s a dynamic, ever-shifting river. Traditional AI struggles with this chaotic flow, a problem known as “concept drift.” Imagine…

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Can a Charged Dust Galaxy Keep From Falling Apart?

What holds a galaxy together? It’s a question that seems simple, but the answer weaves together gravity, electromagnetism, and the very fabric of spacetime. Now, a physicist at Friedrich-Schiller-Universität Jena has peered into the theoretical innards of a galaxy made of charged dust, asking a fundamental question: is it stable? Think of a galaxy not…

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Do AI Minds Learn to Think Like Humans?

AI systems today read like endless libraries where predictions spring to life as text. They mimic voices, echo opinions, and spin narratives with a fluency that can fool a casual reader. But beneath the sheen, do these machines actually grasp the ideas that shape human thinking, especially the messy, emotional terrain of psychology that colors…

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AI Predicts the Best Quantum Computer for Your Problem

The Quantum Hardware Conundrum Imagine a future where quantum computers are as commonplace as smartphones, readily solving problems currently beyond the reach of classical computing. But a major hurdle remains: selecting the right quantum computer for a given task. Quantum hardware isn’t monolithic; different technologies—like superconducting qubits and trapped ions—each have unique strengths and weaknesses….

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AI’s Energy Crisis: A 3D Chip Solution

The Quiet Revolution in AI Chips Large language models (LLMs) – the brains behind conversational AI like ChatGPT – are getting bigger, more powerful, and… increasingly thirsty for energy. Think of it like this: early LLMs were like sputtering gas-guzzlers, while today’s behemoths are akin to a fleet of jumbo jets constantly needing refueling. This…

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AI’s New Job: Predicting and Preventing Microservice Meltdowns

Microservices: the trendy, modular approach to building software that’s reshaped how companies like Alibaba operate. Think of them as Lego bricks for apps — small, independent, and easily swapped out. But this seemingly simple approach has a significant hidden cost: interference. When thousands, even millions, of these microservices share the same computing resources, things can…

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