Interfaces May Steer Heat Spikes in TNT Composites

The hidden drama of many high-energy formulations isn’t in the chemistry alone but in the tiny corners where materials meet: the grain boundaries, the surfaces, the junctions where TNT, the infamous explosive, brushes up against HMX, another energetic crystal. A new modeling framework from researchers at Purdue University, Lawrence Livermore National Laboratory (LLNL), and Los…

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AI Teaches Itself to Watch—and Decode—Reality

Imagine trying to teach a computer to understand video the way a human does. It’s not just about recognizing objects; it’s about understanding the flow of time, the sequence of events, and the subtle cues that tell us what’s important. Now, a team at Nanyang Technological University and ByteDance Inc. is pushing the boundaries of…

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Solving a 7-adic Puzzle: Unraveling the Secrets of Elliptic Curves

Unlocking the Mysteries of Elliptic Curves Elliptic curves, deceptively simple-looking equations that define beautiful, twisting shapes, are central to number theory. They possess a rich and complex structure, with connections to seemingly unrelated areas of mathematics. Understanding these curves better has profound implications, from cryptography to our understanding of the fundamental building blocks of numbers…

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Infinite Trees, Finite Answers: A New Math for AI

Imagine a vast, sprawling tree, its branches reaching infinitely into the unknown. This isn’t some whimsical fantasy; it’s a common structure in computer science, representing processes, data structures, or even the branching possibilities of AI algorithms. But what happens when we want to extract concrete, finite conclusions from these infinite structures? That’s the heart of…

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How Seeing the Crowd Shift Your Vote?

The Echo Chamber Effect, Amplified Imagine a voting system where, as you cast your ballot, you’re simultaneously shown the running tally. Not just the final results, but the live, dynamic shift in votes. That’s the core question explored in a fascinating new study from the University of Chinese Academy of Sciences, led by Yanting Wang….

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Public Transit’s New Math: Scheduling Chaos into Harmony

For years, creating efficient public transportation schedules has been a logistical nightmare. Think of coordinating countless trains, buses, and trams, all with varying frequencies, ensuring smooth transfers, and minimizing passenger wait times. It’s a problem so complex, it’s often tackled by approximating the reality, sacrificing accuracy for computational tractability. But what if there was a…

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AI Learns to ‘See’ Through Clouds: A New Dataset for Synthetic Aperture Radar

Peering Through the Haze: The Promise of Synthetic Aperture Radar Synthetic Aperture Radar (SAR) is a remarkable technology. Unlike ordinary cameras that rely on visible light, SAR uses radio waves to create images. This means it can ‘see’ through clouds, rain, and even darkness—a game-changer for everything from disaster response to mapping remote regions. But…

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Muons Take a Winter Turn in the Summer Sky

Seasonal Mystery of Muon Showers When the atmosphere hums with the heat of July, a quiet chorus travels underground: muons raining down from the sky, born in cosmic-ray showers high above. The NOvA Collaboration, working at Fermilab with researchers from around the world, has been watching a peculiar twist in that chorus. The rate at…

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A Grid That Shields AI Training From Silent Errors

The Quiet Danger Lurking in Large-Scale AI Training In the roar of modern AI training, a ghost quietly undermines accuracy. As researchers push the boundaries of model size and speed, they train on distributed hardware that spans data centers and cloud clusters. The real work happens in matrices: billions of numbers multiplied, added, and transformed…

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