Is Speed in Graphs Always Worth Its Message Cost?

In the world of distributed computing, speed is measured in two ways that rarely line up perfectly: how many rounds of communication you need (time) and how many messages you churn through (the bill for bandwidth, energy, and processing). For decades, researchers have chased near-optimal time with clever protocols, then separately chased tight message budgets…

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When Data Streams Collide: AI Learns to Juggle Chaos

Imagine a world where information floods in from every direction—financial markets, social media, climate sensors, traffic cameras. Each stream surges and ebbs with its own rhythm, influenced by forces both visible and hidden. Making sense of this deluge, especially when the streams are wildly different, is a colossal challenge. It’s like trying to conduct an…

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Robust NMF finds order in noisy image chaos

The art of sorting images into meaningful groups is not just a nerdy puzzle for data scientists. It’s the backbone of modern photo apps, medical imaging archives, and the ever-growing catalogs of surveillance and social platforms. Yet real-world image collections come with a foe that isn’t easily tamed: noise. Tiny distortions, lighting quirks, or partial…

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When Robots Feel Their Way They Move Like Us

Why Feeling Matters More Than Seeing for Robots Robots opening doors, pulling drawers, or twisting knobs might sound like a mundane chore, but it’s a surprisingly complex dance of touch, prediction, and adaptation. At the heart of this challenge is the robot’s ability to understand and manipulate objects that aren’t rigid or fixed — things…

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When Tiny Atomic Resonances Rewrite Nuclear Physics

Imagine a universe where the building blocks of matter—atoms—surprise us with their behavior. We think we understand the rules, but then something unexpected emerges: a low-lying resonance in a core-neutron interaction that, against all odds, helps create a stable, three-body bound state. This isn’t science fiction. Recent research from the University of Tennessee, Knoxville, Oak…

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