A 41-Parameter Quest to Model Pebax at Scale

In the world of materials simulations, the dream is simple: predict how a material behaves without dragging out the lab experiments. But the reality is messier. Fully detailed (all-atom) molecular dynamics can reveal how a polymer moves and interacts, yet it’s computationally heavy—like watching every grain of sand on a beach in real time. Coarse-grained…

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When Stars Spin Their Stories Rewrite Cosmic History

Spinning Stars and the Cosmic Dance of Life Stars are not the static, twinkling points of light we often imagine. They are dynamic, evolving spheres of plasma, spinning and changing over millions to billions of years. Their rotation, composition, and internal processes shape not only their own fates but also the cosmic environments around them….

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The Hidden Wiring of One-Dimensional Quantum Causality

Causality in quantum physics isn’t just about clocks and cause-and-effect. It’s a texture woven into how information moves, interacts, and obeys rules that feel almost architectural. A new study from researchers at Télécom Paris and Université Paris-Saclay, including Augustin Vanrietvelde, Octave Mestoudjian, and Pablo Arrighi, dives into that texture by examining quantum cellular automata (QCAs)…

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AI Forgets, AI Lies: Teaching Machines to Remember and Tell the Truth

Imagine a world where AI systems could continuously learn and adapt, seamlessly integrating new information without forgetting what they’ve already learned. This isn’t science fiction; it’s the ambitious goal of a new research framework, called OGCIL (Open-set Graph Class-incremental Learning), developed by researchers at the University of Waterloo and Guizhou Normal University. Their work tackles…

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A Dictionary Keeps Transformers Lean and Smart

A Dictionary Keeps Transformers Lean and Smart Why do today’s AI models feel like carbon-heavy beasts even when they’re solving elegant problems? Because the brains behind them—transformers—are built by stacking repeating blocks that each carry a mountain of numbers. In large language models, the attention mechanism is the star, connecting every token to every other…

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Foundations Enter Pathology, Changing the Data Game

Foundations Enter Pathology, Changing the Data Game Highlights: Big neural networks trained on unlabeled data can unlock delicate pathology tasks with far less labeled data. When you look at a whole slide image from a tumor tissue, you’re staring at a billion little pixels that tell a story—one that pathologists have learned to read through…

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